Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

awesome-huggingface

🤗 A list of wonderful open-source projects & applications integrated with Hugging Face libraries.
https://github.com/huggingface/awesome-huggingface

  • transformers - State-of-the-art natural language processing for Jax, PyTorch and TensorFlow.
  • datasets - The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools.
  • tokenizers - Fast state-of-the-Art tokenizers optimized for research and production.
  • knockknock - Get notified when your training ends with only two additional lines of code.
  • accelerate - A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.
  • autonlp - Train state-of-the-art natural language processing models and deploy them in a scalable environment automatically.
  • nn_pruning - Prune a model while finetuning or training.
  • huggingface_hub - Client library to download and publish models and other files on the huggingface.co hub.
  • tune - A benchmark for comparing Transformer-based models.
  • Official Course - The official course series provided by 🤗 Hugging Face.
  • transformers-tutorials - Tutorials for applying multiple models on real-world datasets.
  • AllenNLP - An open-source NLP research library.
  • Graph4NLP - Enabling easy use of Graph Neural Networks for NLP.
  • Lightning Transformers - Transformers with PyTorch Lightning interface.
  • Adapter Transformers - Extension to the Transformers library, integrating adapters into state-of-the-art language models.
  • Obsei - A low-code AI workflow automation tool and performs various NLP tasks in the workflow pipeline.
  • Trapper - State-of-the-art NLP through transformer models in a modular design and consistent APIs.
  • Flair - A very simple framework for state-of-the-art NLP.
  • Sentence Transformers - Widely used encoders computing dense vector representations for sentences, paragraphs, and images.
  • WhiteningBERT - An easy unsupervised sentence embedding approach with whitening.
  • SimCSE - State-of-the-art sentence embedding with contrastive learning.
  • DensePhrases - Learning dense representations of phrases at scale.
  • TurboTransformers - An inference engine for transformers with fast C++ API.
  • FasterTransformer - A script and recipe to run the highly optimized transformer-based encoder and decoder component on NVIDIA GPUs.
  • lightseq - A high performance inference library for sequence processing and generation implemented in CUDA.
  • FastSeq - Efficient implementation of popular sequence models (e.g., Bart, ProphetNet) for text generation, summarization, translation tasks etc.
  • Parallelformers - A library for model parallel deployment.
  • OSLO - A library that supports various features to help you train large-scale models.
  • Deepspeed - Deepspeed-ZeRO - scales any model size with zero to no changes to the model. [Integrated with HF Trainer](https://huggingface.co/docs/transformers/master/main_classes/deepspeed).
  • fairscale - Implements ZeRO protocol as well. [Integrated with HF Trainer](https://huggingface.co/docs/transformers/master/main_classes/trainer#fairscale).
  • ColossalAI - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
  • torchdistill - PyTorch-based modular, configuration-driven framework for knowledge distillation.
  • TextBrewer - State-of-the-art distillation methods to compress language models.
  • BERT-of-Theseus - Compressing BERT by progressively replacing the components of the original BERT.
  • TextAttack - A Python framework for adversarial attacks, data augmentation, and model training in NLP.
  • TextFlint - A unified multilingual robustness evaluation toolkit for NLP.
  • OpenAttack - An open-source textual adversarial attack toolkit.
  • Styleformer - A neural language style transfer framework to transfer text smoothly between styles.
  • ConSERT - A contrastive framework for self-supervised sentence representation transfer.
  • conv-emotion - Implementation of different architectures for emotion recognition in conversations.
  • Gramformer - A framework for detecting, highlighting and correcting grammatical errors on natural language text.
  • dl-translate - A deep learning-based translation library based on HF Transformers.
  • EasyNMT - Easy-to-use, state-of-the-art translation library and Docker images based on HF Transformers.
  • PURE - Entity and relation extraction from text.
  • s3prl - A self-supervised speech pre-training and representation learning toolkit.
  • speechbrain - A PyTorch-based speech toolkit.
  • ViLT - A vision-and-language transformer Without convolution or region supervision.
  • trl - Fine-tune transformers using Proximal Policy Optimization (PPO) to align with human preferences.
  • Haystack - End-to-end framework for developing and deploying question-answering systems in the wild.
  • Transformers4Rec - A flexible and efficient library powered by Transformers for sequential and session-based recommendations.
  • Jury - Easy to use tool for evaluating NLP model outputs, spesifically for NLG (Natural Language Generation), offering various automated text-to-text metrics.
  • Spotlight - Interactively explore your HF dataset with one line of code. Use model results (e.g. embeddings, predictions) to understand critical data segments and model failure modes.
  • Jina Integration - Jina integration of Hugging Face Accelerated API.
  • (text2vec) - transformers.html) - Weaviate integration of Hugging Face Transformers.
  • ColBERT - A fast and accurate retrieval model, enabling scalable BERT-based search over large text collections in tens of milliseconds.
  • Amazon SageMaker - Making it easier than ever to train Hugging Face Transformer models in Amazon SageMaker.
  • Qualcomm - Collaboration on enabling Transformers in Snapdragon.
  • Intel - Collaboration with Intel for configuration options.