Stars
Master programming by recreating your favorite technologies from scratch.
A complete computer science study plan to become a software engineer.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An Open Source Machine Learning Framework for Everyone
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Models and examples built with TensorFlow
A latent text-to-image diffusion model
Resumes generated using the GitHub informations
The world's simplest facial recognition api for Python and the command line
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A library for efficient similarity search and clustering of dense vectors.
Google Research
Python packaging and dependency management made easy
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
PyTorch Tutorial for Deep Learning Researchers
Cross-platform, customizable ML solutions for live and streaming media.
The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
The most cited deep learning papers
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Minimal examples of data structures and algorithms in Python
Image-to-Image Translation in PyTorch
Code for the paper "Language Models are Unsupervised Multitask Learners"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Graph Neural Network Library for PyTorch
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training