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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A feature-rich command-line audio/video downloader
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Robust Speech Recognition via Large-Scale Weak Supervision
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A collection of learning resources for curious software engineers
TensorFlow code and pre-trained models for BERT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
PyTorch Tutorial for Deep Learning Researchers
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
You like pytorch? You like micrograd? You love tinygrad! ❤️
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
Deezer source separation library including pretrained models.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
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 lear…
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
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