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100 Days of Machine and Deep Learning Code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Lab files for AI-102 - AI Engineer
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Some awesome competitive programming problems with solutions
A curated list of awesome Deep Learning tutorials, projects and communities.
A collection of Vietnamese Natural Language Processing resources.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A place for you to explore books with your friends!
Just a place to store cheatsheets
Official implementation of paper Deep Feature Rotation for Multimodal Image Style Transfer [NICS'21]
My personal notes, presentations, and notebooks on everything Deep Learning.
The basic distribution probability Tutorial for Deep Learning Researchers
Best Practices on Explainable AI (XAI)
SOTA Re-identification Methods and Toolbox
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
Minimalistic, fast, and experimentation-friendly researcher's toolbench for GPT-like models in ~<365 lines of code. Reaches <3.8 validation loss on wikitext-103 on a single A100 in ~138 seconds.
🏅 Collection of Kaggle Solutions and Ideas 🏅
LAVIS - A One-stop Library for Language-Vision Intelligence
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Code from the Pearson Addison-Wesley book Machine Learning with Python for Everyone
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
PyTorch Tutorial for Deep Learning Researchers
Improving Style Transfer With Calibrated Metrics
[CVPR2023] Referring Multi-Object Tracking
RSA attack tool (mainly for ctf) - retreive private key from weak public key and/or uncipher data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.