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100-days-of-ml-code

100 Days of ML Coding

adversarial-face-attack

Black-Box Adversarial Attack on Public Face Recognition Systems

aibooks.github.io

AI Books

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-deep-learning-papers

The most cited deep learning papers

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome_reinformance_learning

core_nlp

Project to share nlp algorithms

course-nlp

A Code-First Introduction to NLP course

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-coursera-1

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

detr

End-to-End Object Detection with Transformers

facebook-scripts-dom-manipulation

An open-source project includes many scripts with no Access Token needed for Facebook users by directly manipulating the DOM.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

free-ai-resources

🧠 Free AI Resources for everyone

google-research

Google Research

kill-the-bits

Code for: "And the bit goes down: Revisiting the quantization of neural networks"

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn.

machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

ml-class

Machine learning lessons and teaching projects designed for engineers

ml-from-scratch

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

ml-from-scratch-1

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.

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

pcc-pytorch

A pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"

pifuhd

High-Resolution 3D Human Digitization from A Single Image.