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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Models and examples built with TensorFlow

Animation engine for explanatory math videos

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

TensorFlow code and pre-trained models for BERT

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Let us control diffusion models!

💫 Industrial-strength Natural Language Processing (NLP) in Python

Code and documentation to train Stanford's Alpaca models, and generate the data.

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

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…

A generative world for general-purpose robotics & embodied AI learning.

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.

Graph Neural Network Library for PyTorch

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Datasets, Transforms and Models specific to Computer Vision

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

A list of all named GANs!

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Open source code for AlphaFold 2.

A MNIST-like fashion product database. Benchmark 👇

Ongoing research training transformer models at scale

Minimal and clean examples of machine learning algorithms implementations

🐍 Geometric Computer Vision Library for Spatial AI

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

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch