huggingface/acceleratePython
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
(5,805 stars) (626 forks) (3 件の索引済み issue) (1 件のオープンな good first issue)
リポジトリ
huggingface のリポジトリ
(174 stars) (69 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Minimalist ML framework for Rust
(19,476 stars) (1,440 forks) (5 件の索引済み issue) (5 件のオープンな good first issue)
huggingface/datasetsPython
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
(18,313 stars) (2,496 forks) (5 件の索引済み issue) (5 件のオープンな good first issue)
huggingface/diffusersPython
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
(22,190 stars) (4,562 forks) (18 件の索引済み issue) (18 件のオープンな good first issue)
Mount Hugging Face Buckets and repos as local filesystems. No download, no copy, no waiting.
(780 stars) (65 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
huggingface/hmtlPython
🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP
(1,176 stars) (148 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
(49 stars) (6 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
huggingface/lightevalPython
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
(2,496 stars) (514 forks) (23 件の索引済み issue) (23 件のオープンな good first issue)
Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA
(723 stars) (121 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
huggingface/open-musePython
Open reproduction of MUSE for fast text2image generation.
(359 stars) (31 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
(214 stars) (103 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
huggingface/peftPython
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
(12,235 stars) (1,051 forks) (1 件の索引済み issue) (1 件のオープンな good first issue)
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
(30,131 stars) (4,595 forks) (3 件の索引済み issue) (3 件のオープンな good first issue)
A cross-platform browser ML framework.
(768 stars) (44 forks) (7 件の索引済み issue) (7 件のオープンな good first issue)
Swift Package to implement a transformers-like API in Swift
(1,348 stars) (196 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Large Language Model Text Generation Inference
(6,460 stars) (696 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
(10,972 stars) (1,168 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
🦄 State-of-the-Art Conversational AI with Transfer Learning
(1,700 stars) (429 forks) (1 件の索引済み issue) (1 件のオープンな good first issue)
huggingface/transformersPython
🤗 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.
(160,624 stars) (33,212 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)