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.

🤗 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.

Models and examples built with TensorFlow

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Clone a voice in 5 seconds to generate arbitrary speech in real-time

Making large AI models cheaper, faster and more accessible

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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

PyTorch Tutorial for Deep Learning Researchers

You like pytorch? You like micrograd? You love tinygrad! ❤️

Fast and memory-efficient exact attention

Machine Learning Engineering Open Book

Open deep learning compiler stack for cpu, gpu and specialized accelerators

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

Style transfer, deep learning, feature transform

StyleGAN2 - Official TensorFlow Implementation

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Hackable and optimized Transformers building blocks, supporting a composable construction.

Fast and Accurate ML in 3 Lines of Code

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

An elegant PyTorch deep reinforcement learning library.

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Real-Time High-Resolution Background Matting

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥