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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Stable Diffusion web UI
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Robust Speech Recognition via Large-Scale Weak Supervision
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…
Rich is a Python library for rich text and beautiful formatting in the terminal.
Making large AI models cheaper, faster and more accessible
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
High-Resolution Image Synthesis with Latent Diffusion Models
The simplest, fastest repository for training/finetuning medium-sized GPTs.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
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
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
A high-throughput and memory-efficient inference and serving engine for LLMs
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
State-of-the-art 2D and 3D Face Analysis Project
☁️ Build multimodal AI applications with cloud-native stack
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch