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Algorithm
Curates a large collection of external links to AI/ML resources: algorithms, books, courses, tools, and community references.
ai openai
View sourceWhat this file does
Curates a large collection of external links to AI/ML resources: algorithms, books, courses, tools, and community references.
When to use it
- Starting a self-directed AI/ML learning path
- Looking for curated lists of books, courses, or cheat sheets
- Exploring ChatGPT-related projects and tools
- Finding community members or research papers in AI
Algorithm
Artificial general intelligence (AGI)
- https://www.daveshap.io/books + https://github.com/daveshap/NaturalLanguageCognitiveArchitecture + https://github.com/daveshap/BenevolentByDesign
- Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI + https://karpathy.medium.com/software-2-0-a64152b37c35 + https://tldrsec.com/blog/tldr-sec-167/#machine-learning
- https://m.youtube.com/playlist?list=PL1v8zpldgH3qe4xqXgHPyfwJKckvZIjfp
- https://dallasinnovates.com/exclusive-qa-john-carmacks-different-path-to-artificial-general-intelligence
- https://18alan.space/posts/agi-in-t-minus-ten-years.html
Book
- AlphaGo Simplified (CRC Press 2024). Implement ideas behind Deep Blue (rule-based AI) and AlphaGo (rule-based AI + Deep Learning) in three simple games: Last Coin Standing, Tic Tac Toe, and Connect Four
- https://plugaru.org/2021/03/10/a-thousand-brains
- Artificial Intelligence: A Guide for Thinking Humans
- AI Superpowers: China, Silicon Valley, and the New World Order
- https://twitter.com/Miles_Brundage/status/1177999361118277635 + https://twitter.com/jennyhbren/status/1164099257378492416
- Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013)
- Spinning Up in Deep Reinforcement Learning
- Machine Learning from Scratch
- https://www.linkedin.com/posts/arnuld-on-data_how-id-start-learning-machine-learning-again-activity-6707557261012795392-nEG1
- https://github.com/lyhue1991/eat_tensorflow2_in_30_days
- https://mentorcruise.com/books/ml + https://news.ycombinator.com/item?id=23997301
- https://builtin.com/data-science/data-science-books + https://news.ycombinator.com/item?id=23936249
- The Hundred-Page Machine Learning Book by Andriy Burkov + https://news.ycombinator.com/item?id=25905899
- Recurrent Attentive Neural Process for Time Series Clustering (Master Thesis)
- https://uxplanet.org/designer-friendly-resources-to-study-ai-and-machine-learning-1-6106e257faeb
- Learning Theory from First Principles
- https://andrewnc.github.io/blog/everyday_data_science.html
- https://www.amazon.com/Architects-Intelligence-truth-people-building-ebook/dp/B07H8L8T2J
- https://github.com/PacktPublishing/Machine-Learning-with-Amazon-SageMaker-Cookbook
- https://www.amazon.com/2062-World-that-AI-Made-ebook/dp/B07B3RDQJH + http://www.cse.unsw.edu.au/~tw/#books
- Jacques Attali | Scurtă istorie a viitorului + Jacques Attali | Cum să ne apărăm de crizele următoare
- https://bogdanbocse.com/embodied-computational-calculus + https://bogdanbocse.com/embodied-computational-calculus
- https://github.com/zslucky/awesome-AI-books
- I read a lot of books this year to broaden my horizons in AI/ML with adjacent or complementary disciplines
- https://leanpub.com/interpretable-machine-learning + https://christophm.github.io/interpretable-ml-book
- Machine Learning: Advanced Topics
- Data mining pentru Științele Sociale Vol. 1: Pregătirea datelor în RapidMiner Studio | COMŞA Mircea
- Natural Language Processing with TensorFlow | Thushan Ganegedara
- Intro to Artificial Neural Networks for High Schoolers
- Approaching (Almost) Any Machine Learning Problem
- https://github.com/ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
- Paths. Why is life filled with so many detours? | András Gulyás, Zalán Heszberger, József Biró
Cheat sheet
- https://blog.gregbrockman.com/its-time-to-become-an-ml-engineer
- https://github.com/louisfb01/start-machine-learning + https://www.louisbouchard.ai/learnai
- https://github.com/trekhleb/machine-learning-octave
- https://github.com/AMAI-GmbH/AI-Expert-Roadmap
- https://twitter.com/binitamshah/status/1312760070183153665
- https://github.com/leandromineti/ml-knowledge-graph
- https://github.com/ZuzooVn/machine-learning-for-software-engineers
- https://github.com/zotroneneis/machine_learning_basics
- https://github.com/Avik-Jain/100-Days-Of-ML-Code
- https://towardsdatascience.com/natural-language-processing-for-web-developers-765be34b27d0
- https://github.com/abhat222/Data-Science--Cheat-Sheet/tree/master/Machine%20Learning
- Full-on machine learning for 2020, what are the best resources?
- https://github.com/leandromineti/awesome-healthmetrics
- https://theaisummer.com/Deep-Learning-Algorithms
- https://github.com/jivoi/awesome-ml-for-cybersecurity
- https://github.com/src-d/awesome-machine-learning-on-source-code
- https://github.com/mrdbourke/machine-learning-roadmap
- https://medium.com/javascript-in-plain-english/ml-for-js-devs-in-10-minutes-46794782762e
- https://towardsdatascience.com/a-learning-path-to-becoming-a-data-scientist-56c5c2e8ae3f
- https://github.com/dformoso/machine-learning-mindmap
- Visual Studio Code extension to quickly generate docstrings for Python functions using AI
- https://github.com/GokuMohandas/madewithml
- https://github.com/chiphuyen/machine-learning-systems-design
- https://github.com/hoya012/awesome-anomaly-detection
- https://github.com/alex-movila/My-Public-AI-Presentations
- https://www.notion.so/Rishabh-Anand-ceb23e08fecf4afb8732fe0f55039f90 + https://twitter.com/rishabh16_/status/1366810566493310976
- Resources for conservation, development, and documentation of low resource (human) languages.
- https://github.com/terryum/awesome-deep-learning-papers
- A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
- https://github.com/firmai/industry-machine-learning
- https://github.com/aaronwangy/Data-Science-Cheatsheet
- https://github.com/lschmelzeisen/talk-supervised-learning-tensorflow
- https://github.com/vidhanbhonsle/Image-Recognition-with-IBM-and-HERE-Workshop
- https://github.com/dmvaldman/library/tree/master/ai
- https://github.com/bfortuner/ml-glossary
- https://github.com/margaretmz/awesome-tensorflow-lite
- https://github.com/therealsreehari/Learn-Data-Science-For-Free
- https://github.com/merveenoyan/my_notes
Course
- Unconventional Ways to Learn More Online
- https://github.com/microsoft/ML-For-Beginners
- https://ttumiel.github.io/blog/getting-into-ml
- https://github.com/CryptoSoc/fastai-lessons + https://github.com/fastai/course22 + https://www.fast.ai/2020/08/19/data-ethics + https://news.ycombinator.com/item?id=24213477 + fast.ai Part 1, 2019 & Things Jeremy says to do + https://github.com/radekosmulski/aiquizzes-anki
- https://github.com/llSourcell/Learn_Machine_Learning_in_3_Months
- https://github.com/llSourcell/Learn_Deep_Learning_in_6_Weeks
- https://github.com/bnorbert/Courses/blob/master/History%20Of%20Computer%20Science%20Project/A_brief_history_of_Machine_Learning.pdf
- https://www.freecodecamp.org/news/massive-tensorflow-2-0-free-course
- https://academy.infinite.red/p/ai-demystified-free-5-day-mini-course
- https://laconicml.com/free-artificial-intelligence-courses
- JavaScript for Data Science
- https://www.freecodecamp.org/news/hands-on-data-science-course
- https://course.elementsofai.com
- https://www.freecodecamp.org/news/building-a-data-science-curriculum-with-advanced-math-and-machine-learning
- https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd
- https://github.com/lexfridman/mit-deep-learning
- CS224W: Machine Learning with Graphs + https://twitter.com/jure/status/1382743017283493889 + https://m.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn
- https://www.udemy.com/course/learn-machine-learning-in-21-days
- https://inst.eecs.berkeley.edu/~cs188/su21
- https://github.com/rainyear/Oxford-Machine-Learning-Course-2015
- https://github.com/kendricktan/non-overwhelming-machine-learning
- https://github.com/DataScienceSpecialization/courses
- https://github.com/HaleTom/pytorch-udacity-scholarship
- https://laurencemoroney.com/2022/01/05/aiforanyone.html
- https://github.com/dcetin/eth-cs-notes
- https://github.com/zlotus/notes-LSJU-machine-learning
- Cornell CS5785: Applied Machine Learning | Fall 2020
- Igo Math - Natural and Artificial Intelligence and the Game of Go
- https://github.com/frnsys/ai_notes
- https://github.com/dibgerge/ml-coursera-python-assignments
- Phillip Isola
Cinema
- RL Course by David Silver
- CS294-112 Fall 2017 (deep RL course)
- Two Minute Papers
- Machine Learning and Programming - Vivek Haldar
- Building a Machine Learning Based Web App Firewall/IPS from Scratch | Debasish Mandal + http://www.debasish.in/2020/10/videobuilding-machine-learning-based.html
- https://divyendusingh.com/machine-learning-literacy
- Machine Learning Course - Halmstad University
- https://decision.substack.com/p/full-course-making-friends-with-ml
- Beep Boop: Learn AI/ML for free!
- Israel Algorithmic Game Theory Seminar
- https://github.com/benthecoder/yt-channels-DS-AI-ML-CS
Community
- Amit Chaudhary
- Suzana Ilić: Twitter, Linkedin
- Brandon Rohrer: Twitter, Linkedin
- Chip Huyen: Twitter, Linkedin
- https://interestingengineering.com/robert-downey-jrs-series-on-ai-is-available-on-youtube-right-now
- Joscha Bach: Artificial Consciousness and the Nature of Reality
- Jürgen Schmidhuber
- https://twitter.com/svpino/status/1320722226069573634
- https://sararobinson.dev/2020/11/17/writing-a-technical-book.html
- Daniel Etzold
- Noor Siddiqui
- My favorite ML educators
- Letiția Pârcălăbescu
- Machine Learning & User Experience (MLUX)
- Heather Knight
- David Valdman
- Louis-François Bouchard
- https://github.com/BAILOOL/DoYouEvenLearn
- [https://www.facebook.com/groups/propBitDev](Artificial General Intelligence (AGI/ASI))
ChatGPT
- Building Startups with an AI Co-Founder
- https://github.com/logankilpatrick/ChatGPT-Plugins-Collection
- Talk to your codebase
- A review bot that can leave PR comments and reviews
- get familiar with LLMs + https://stanford-cs324.github.io/winter2022 + https://arxiv.org/abs/2108.07258
- https://systemsapproach.substack.com/p/putting-large-language-models-in
- https://app.gumroad.com/d/1dff6753fb21e2e05e1e42cee5fefa04
- https://github.com/topics/chatgpt
- https://github.com/topics/gpt-3
- https://github.com/stars/acheong08/lists/awesome-chatgpt
- A git prepare-commit-msg hook for authoring commit messages with GPT-3
- https://github.com/humanloop/awesome-chatgpt
- https://github.com/morpheuslord/GPT_Vuln-analyzer
- Building a Virtual Machine Inside ChatGPT + https://twitter.com/317070/status/1599152176344928256
- Building applications with LLMs through composability
- https://github.com/stars/FanaHOVA/lists/llm-chaining
- https://github.com/stars/vladiliescu/lists/llm
- https://codewithandrea.com/articles/dart-flutter-chatgpt
- https://slate.com/technology/2022/12/chatgpt-openai-artificial-intelligence-chatbot-whoa.html
- https://simonwillison.net/2022/Dec/5/rust-chatgpt-copilot + https://news.ycombinator.com/item?id=33872369
- https://maximumeffort.substack.com/p/i-taught-chatgpt-to-invent-a-language
- https://mailchi.mp/hackernewsletter/630?e=cb2457a414
- https://danielmiessler.com/blog/ideas-changes-expect-post-chatgpt
- https://tldrsec.com/blog/tldr-sec-161/#chatgpt
- https://research.nccgroup.com/2022/12/05/exploring-prompt-injection-attacks
- https://lspace.swyx.io/p/reverse-prompt-eng
- https://github.com/danielgross/whatsapp-gpt
- https://github.com/taranjeet/unofficial-chatgpt-api
- ChatGPT for Mac, living in your menubar
- Twilio GPT SMS Chat Bot
- VSCode Integration POC for ChatGPT
- https://github.com/transitive-bullshit/chatgpt-api
- https://github.com/f/awesome-chatgpt-prompts
- https://github.com/openai/openai-cookbook
- https://www.freecodecamp.org/news/pair-programming-with-the-chatgpt-ai-how-well-does-gpt-3-5-understand-bash
- https://m.youtube.com/watch?v=mh7wzbWAHFE
- https://github.com/sw33tLie/impressive-chatgpt
- https://github.com/liady/ChatGPT-pdf
- app that can quickly and efficiently detect whether an essay is ChatGPT or human written
- https://github.com/spinda/react-redux-chatgpt/tree/main/react-redux-chatgpt
- automated AI podcast + https://twitter.com/yacineMTB/status/1608993955835957248
- Reverse Engineered ChatGPT by OpenAI
- Build your own ChatGPT with OpenAI's GPT-3 model apis
- Go CLI to fuels a Telegram bot that lets you interact with ChatGPT
- interface of the ChatGPT API using browser automation that bypasses cloudflare detection and recaptchas
- nodejs script that enables continuous conversation with voice recognition and tts speaker responses
- Export GPTChat responses to an HTML file
- A browser extension to display ChatGPT response alongside search engine results
- https://research.checkpoint.com/2023/opwnai-cybercriminals-starting-to-use-chatgpt
- A chrome extension that uses GPT3 to summarize highlighted text
- promising new AI projects built on NextJS and Vercel
- semantic search index for any YouTube channel/playlist + https://github.com/transitive-bullshit/yt-semantic-search
- Chrome extension for saving ChatGPT threads using gpt.best
- https://github.com/rileytomasek/openai-fetch
- https://greylock.com/greymatter/reid-hoffman-chatbots-talking-ai-with-ai
- https://changelog.com/podcast/519
- Drive a browser with GPT-3
- https://chrome.google.com/webstore/detail/chatgpt-for-search-engine/feeonheemodpkdckaljcjogdncpiiban
- Code for the paper: "Large Language Models as Corporate Lobbyists" (2023)
- The most economically impactful use-case for LLMs is not chatbots
- https://medium.com/@paul.k.pallaghy/chatgpt-the-hard-part-of-agi-is-now-done-3179d31a7277 + https://twitter.com/irinarish/status/1616435251580108800
- Historical analogies for large language models
- Some remarks on Large Language Models | Yoav Goldberg
- https://maggieappleton.com/ai-dark-forest
- https://github.com/TheAppleTucker/backend-GPT
- see what the Copilot extension sends to the server
- tracking improvements to train large language models?
- Use OpenAI to generate functioning React Native components
- https://github.com/giuven95/chatgpt-failures
- https://github.com/C-Nedelcu/talk-to-chatgpt + https://m.youtube.com/@cned9319/videos
- https://www.viorelspinu.com/2022/12/technical-architecture-for-whatsapp.html
- https://www.facebook.com/groups/aicomunity
- 6 month learning plan for AI large language models
- GPT-3 chatbot with long-term memory and external sources
- client-side PoC of OpenAI Chat GPT API via Web Speech API
- Use ChatGPT from the terminal
- GPT in 60 Lines of NumPy + https://news.ycombinator.com/item?id=34726115
- https://github.com/Zero6992/chatGPT-discord-bot
- https://www.manning.com/books/regular-expression-puzzles-and-ai-coding-assistants
- https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work
- Open Assistant: Conversational AI for Everyone + https://github.com/LAION-AI/Open-Assistant
- https://github.com/ai-forever/ru-gpts
- Telegram bot integrated with ruGPT3
- https://ijaycent.hashnode.dev/al-assistants-that-help-your-productivity-besides-chatgpt
- proxy API that allows you to access OpenAI's ChatGPT API for free
- Official repo for the paper: Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
- Port of Facebook's LLaMA model in C/C++
- use OpenAI chat capabilities in your terminal
- The simplest way to run LLaMA on your local machine
Ernie
Tool
- Curated list of libraries for a faster machine learning workflow
- Recommender systems (or recommendation engines)
- Otto is an intelligent chat application, designed to help aspiring machine learning engineers go from idea to implementation with minimal domain knowledge.
- https://calv.info/gpt-3-real-magic + https://twitter.com/calvinfo/status/1286332337563684865
- https://blog.maximeheckel.com/posts/first-steps-with-gpt-3-and-beyond
- Smart Upscaler can upscale images up to 3000x3000px.
- https://www.freecodecamp.org/news/building-a-habit-of-reading-research-papers
- End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
- HRI '21: Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
- AlephBERT, a Hebrew pretrained language model to start off your Hebrew NLP Application
- Free Software Social Friendly AI for general use, but esp for those w/ poverty, homelessness, disabilty or illness
- https://www.stavros.io/posts/making-ai-podcast + https://deepdreams.stavros.io
- https://github.com/stars/yamalight/lists/machine-learning-things
- Links Detector makes printed links clickable via your smartphone camera
- Tools to help efficiently generate images
- Train a computer to recognize your own images, sounds, & poses
- Audio transcription models
- https://github.com/bharathgs/Awesome-pytorch-list
- If ChatGPT and Google Scholar got married, their child would be Consensus — an AI-powered search engine
Neural network
- https://twitter.com/karpathy/status/1613578749509013504 + https://karpathy.ai/zero-to-hero.html + The simplest, fastest repository for training/finetuning medium-sized GPTs + https://twitter.com/mlpowered/status/1615852047311704064
- https://towardsdatascience.com/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464
- https://github.com/AgaMiko/bird-recognition-review
- https://www.digitalocean.com/community/tutorials/how-to-trick-a-neural-network-in-python-3
- https://github.com/Kayzaks/HackingNeuralNetworks
- https://github.com/zzw922cn/awesome-speech-recognition-speech-synthesis-papers
- https://github.com/humphd/have-fun-with-machine-learning
CNN
Deep learning
- Background Matting is a project that uses deep learning to turn any background into a green screen with just a handheld camera.
- An educational resource to help anyone learn deep reinforcement learning.
- Reinforcement Learning + Deep Learning
- A deep database of medical abbreviations and acronyms for natural language processing + https://www.nature.com/articles/s41597-021-00929-4
- Clone a voice in 5 seconds to generate arbitrary speech in real-time
- https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap
- https://www.todaysoftmag.ro/article/3614/propunere-de-carte-machine-learning
- Personalized Recommendation system with Python
- Deep Learning | João Araújo
- https://github.com/WZMIAOMIAO/deep-learning-for-image-processing
- Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann
- https://github.com/blueberrymusic/Deep-Learning-A-Visual-Approach
- notes for training better deep learning models
- MIT 6.S191: Introduction to Deep Learning + https://github.com/aamini/introtodeeplearning
- Elena Burceanu
- https://github.com/jacobhilton/deep_learning_curriculum
Natural language processing (NLP)
- https://www.manning.com/liveprojectseries/math-for-machine-learning-ser
- https://github.com/booknlp/booknlp
Paper
- Software engineering for artificial intelligence and machine learning software: A systematic literature review
- Towards the First Machine Translation System for SumerianTransliterations
- https://github.com/louisfb01/best_AI_papers_2022
- Platform for Automatic Analysis of Malicious Applications Using Artificial Intelligence Algorithms + https://github.com/iosifache/dike
- Detecting Fake Accounts on Social Media
- https://github.com/patrickcgray/awesome-deep-ecology
- Code and real data for "Enhancing Human Learning via Spaced Repetition Optimization", PNAS 2019
- On Hiding Neural Networks Inside Neural Networks | Chuan Guo, Ruihan Wu, Kilian Q. Weinberger
- Open source science model trained on 48M scihub papers
Demo
- Using AI and machine learning to help with Quran memorization and recitation.
- An adblocker for live radio streams and podcasts. Machine learning meets Shazam.
- Search/personalization as a service to small-medium businesses && automation in screening
- Removing people from complex backgrounds in real time using TensorFlow.js in the web browser.
- Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
- Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy.
- AI Projects - Will Kwan
- https://github.com/cchen156/Learning-to-See-in-the-Dark
- https://medium.com/analytics-vidhya/sentiment-analysis-of-restaurant-reviews-542727dc24e2
- Build a DIY license plate reader with machine learning + https://news.ycombinator.com/item?id=24493248
- A curated list of awesome machine learning projects built with Google's Teachable Machine.
- ML Art - A curated showcase of creative machine learning artworks and projects
- https://towardsdatascience.com/create-your-own-smart-baby-monitor-with-a-raspberrypi-and-tensorflow-5b25713410ca
- https://github.com/nashory/gans-awesome-applications
- [Automating my job by using GPT-3 to generate database-ready SQL to answer business questions(https://blog.seekwell.io/gpt3) + https://news.ycombinator.com/item?id=25930190
- https://einstein.digitalhumans.com
- Automatically tagging Belgian politician when they use their phone on the daily livestreams. With the help of AI.
- https://nathanielbd.github.io/posts/hacking-the-normie-test
- https://github.com/KayO-GH/Ashesi-DSC-Tensorflow-Workshop
- interior.computer
- Get interior design ideas from AI (28,867 interiors rendered)
- http://rez0.blog/art/2022/09/29/how-to-create-ai-art.html
- How to detect any CMS version with Machine Learning Algorithms
- Stable Diffusion is only 30 days old + https://twitter.com/daniel_eckler/status/1589629394372669440
- https://github.com/amrzv/awesome-colab-notebooks
- https://reasonabledeviations.com/Projects/#mlstocks
Optical character recognition (OCR)
Opinion
- https://www.privatdozent.co/p/the-birth-of-ai-1956
- https://plugaru.org/2016/04/24/future-of-humanity-and-strong-AI
- https://thinkml.ai/top-5-ai-achievements-of-2020
- https://www.hyro.ai/post/gpt-3-vs-existing-conversational-ai-solutions
- https://www.fastcompany.com/90590042/turing-test-obsolete-ai-benchmark-amazon-alexa
- Microsoft president: Orwell’s 1984 could happen in 2024
- https://www.leonlinsx.com/doctor-gpt3
- A curated list to track current scary usages of AI
- http://tombaranowicz.com/index.php/2020/03/29/7-machine-learning-business-ideas
- https://loomcom.com/blog/0127_jacques_vallee_on_artificial_intelligence.html
- https://github.com/davidbau/how-to-read-pytorch
- http://incompleteideas.net/IncIdeas/BitterLesson.html
Security
- Unencrypted PCIe traffic, to leak DNN models
- Automating Host Exploitation
- https://github.com/DeepSpaceHarbor/Awesome-AI-Security
- https://github.com/terjanq/hack-a-prompt
Deep learning
- Book
- Cheat sheet
- https://github.com/ThinamXx/MachineLearning_DeepLearning
- https://github.com/ThinamXx/300Days__MachineLearningDeepLearning
- https://github.com/Nyandwi/deep-learning-course-kigali
- Spring 2023 COMP664 course "Deep Learning" at UNC
- Understanding Deep Learning - Simon J.D. Prince
- http://web.archive.org/web/20221003014452/https://www.getrevue.co/profile/deeprevision/issues/a-revised-history-of-deep-learning-issue-1-1145664
- Interactive deep learning book with multi-framework code, math, and discussions
- Community
- Computer vision
- https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
- Learn OpenCV : C++ and Python Examples
- https://www.freecodecamp.org/news/opencv-full-course
- Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
- https://github.com/Developer-Y/cs-video-courses#image-processing-and-computer-vision
- Deep Learning for Computer Vision
- https://www.freecodecamp.org/news/advanced-computer-vision-with-python
- https://github.com/amzn/computer-vision-basics-in-microsoft-excel
- List of satellite image training datasets with annotations for computer vision and deep learning
- https://github.com/phellonchen/awesome-Vision-and-Language-Pre-training
- https://github.com/dair-ai/ML-Papers-Explained#tabular-deep-learning
- https://github.com/dair-ai/ML-YouTube-Courses
- Course
- Demo
- Historic
- Large language model (LLM)
- https://github.com/forcesunseen/llm-hackers-handbook
- https://github.com/dair-ai/Prompt-Engineering-Guide
- https://github.com/imaurer/awesome-decentralized-llm
- https://github.com/huggingface/large_language_model_training_playbook
- https://github.com/YuxinWenRick/hard-prompts-made-easy
- Papers & tech blogs by companies sharing their work on data science & machine learning in production
- How do we properly evaluate and compare LLMs?
- Unlock the Power of AI: Build a ChatGPT Chatbot For Your Data
- Assemble, configure, and deploy autonomous AI Agents in your browser
- LLM primers
- CLI tool to test prompt effectiveness easily against AI models
- https://www.python-engineer.com/posts/langchain-crash-course
- https://github.com/SCIR-HI/Huatuo-Llama-Med-Chinese
- Interact privately with your documents using the power of GPT, 100% privately, no data leaks
- Bringing large-language models and chat to web browsers
- code-davinci-002 is actually better for many things than ChatGPT-3.5 + https://www.lesswrong.com/posts/t9svvNPNmFf5Qa3TA/mysteries-of-mode-collapse#Observations
- https://github.com/Barnacle-ai/awesome-llm-list
- https://github.com/PicoCreator/smol-dev-js
- https://www.freecodecamp.org/news/build-gpt-4-api-chatbot-turorial
- https://blog.nuculabs.dev//posts/2023/2023-06-21-fastai-model-deployment-fastapi
- https://github.com/nichtdax/awesome-totally-open-chatgpt
- A reverse engineered API for Google Bard chatbot for NodeJS
- Reverse engineered API of Microsoft's Bing Chat AI
- Opinion
- Stable Diffusion
- InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies
- Convert your black and white images to colored
- Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database)
- Tool
Genetic algorithms
- Book
Machine learning
-
Algorithm
-
Book
-
Community
-
Deploy
-
Historic
Neural network
- https://github.com/ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
- Neural Networks from Scratch | sentdex + https://m.youtube.com/playlist?list=PLQVvvaa0QuDcjD5BAw2DxE6OF2tius3V3
- https://www.freecodecamp.org/news/the-brain-inspired-approach-to-ai
Natural language processing (NLP)
- Cheat sheet
- https://huggingface.co/course + https://youtu.be/sUt-YV5bPXA
- A hackers AI voice assistant, built using Python and PyTorch | Michael Phi
- https://github.com/dair-ai/ML-Notebooks#nlp
- https://github.com/ThinamXx/66Days__NaturalLanguageProcessing
- https://github.com/ThinamXx/Transformers_NLP
- A study guide to learn about Transformers
- Course
Tool
- Using AI without leaving the terminal: https://kashw1n.com/blog/llm-cli, https://llm.datasette.io/en/stable, https://labs.iximiuz.com/playgrounds/coding-agent-base
- A privacy‑first CLI that converts YouTube links, local video files or M3U8 streams into searchable transcripts using local Whisper models, so your audio never leaves your machine. A lightweight SQLite database plus an optional Datasette web viewer let you batch‑process videos and instantly query captions to build your own personal knowledge base: https://kashw1n.com/blog/vid2text, https://github.com/kashw1n/vid2text
What's inside
15 sections (Algorithm, AGI, Book, Cheat sheet, Course, Cinema, Community, ChatGPT, Ernie, Tool, Neural network, CNN, Deep learning) with hundreds of links.
Change this for your project
- Replace
costinEEST/almanacswith your own repository name if forking - Replace
https://github.com/costinEEST/almanacswith your own repo URL if forking
Where it goes
A standard operating procedure. Keep where the team or agent running the process will find it.
Worth borrowing
- Organising resources by topic (Algorithm, AGI, Book, etc.) for quick scanning
- Including both free and paid resources (books, courses, tools) in one place
- Adding community member profiles with social links for networking
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