Ecosyste.ms: Awesome

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

Awesome Lists | Featured Topics | Projects

awesome-huggingface

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

Last synced: 1 day ago
JSON representation

☁ Cloud
- Amazon SageMaker - Making it easier than ever to train Hugging Face Transformer models in Amazon SageMaker.
📱 Hardware
- Qualcomm - Collaboration on enabling Transformers in Snapdragon.
- Intel - Collaboration with Intel for configuration options.
🤗 Official Libraries
- 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.
- 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.
- autonlp - Train state-of-the-art natural language processing models and deploy them in a scalable environment automatically.
- accelerate - A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.
👩‍🏫 Tutorials
- transformers-tutorials - Tutorials for applying multiple models on real-world datasets.
🧰 NLP Toolkits
- AllenNLP - An open-source NLP research library.
- Graph4NLP - Enabling easy use of Graph Neural Networks for NLP.
- Obsei - A low-code AI workflow automation tool and performs various NLP tasks in the workflow pipeline.
- Lightning Transformers - Transformers with PyTorch Lightning interface.
- Adapter Transformers - Extension to the Transformers library, integrating adapters into state-of-the-art language models.
- 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.
🥡 Text Representation
- DensePhrases - Learning dense representations of phrases at scale.
- 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.
⚙️ Inference Engines
- 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.
🌗 Model Scalability
- 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).
- 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).
🏎️ Model Compression/Acceleration
- BERT-of-Theseus - Compressing BERT by progressively replacing the components of the original BERT.
- torchdistill - PyTorch-based modular, configuration-driven framework for knowledge distillation.
- TextBrewer - State-of-the-art distillation methods to compress language models.
🏹️ Adversarial Attack
- 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.
🔁 Style Transfer
- Styleformer - A neural language style transfer framework to transfer text smoothly between styles.
- ConSERT - A contrastive framework for self-supervised sentence representation transfer.
💢 Sentiment Analysis
- conv-emotion - Implementation of different architectures for emotion recognition in conversations.
🗺 Translation
- EasyNMT - Easy-to-use, state-of-the-art translation library and Docker images based on HF Transformers.
- dl-translate - A deep learning-based translation library based on HF Transformers.
📖 Knowledge and Entity
- PURE - Entity and relation extraction from text.
🎙 Speech
- s3prl - A self-supervised speech pre-training and representation learning toolkit.
- speechbrain - A PyTorch-based speech toolkit.
🤯 Multi-modality
- ViLT - A vision-and-language transformer Without convolution or region supervision.
💁 Recommender Systems
- Transformers4Rec - A flexible and efficient library powered by Transformers for sequential and session-based recommendations.
⚖️ Evaluation
- 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.
🔍 Neural Search
- ColBERT - A fast and accurate retrieval model, enabling scalable BERT-based search over large text collections in tens of milliseconds.
- Jina Integration - Jina integration of Hugging Face Accelerated API.
- (text2vec) - transformers.html) - Weaviate integration of Hugging Face Transformers.
❓ Question Answering
- Haystack - End-to-end framework for developing and deploying question-answering systems in the wild.
🙅 Grammatical Error Correction
- Gramformer - A framework for detecting, highlighting and correcting grammatical errors on natural language text.

Programming Languages

Python 41 C++ 3 Jupyter Notebook 3 Rust 1

Ecosyste.ms: Awesome

awesome-huggingface

☁ Cloud

📱 Hardware

🤗 Official Libraries

👩‍🏫 Tutorials

🧰 NLP Toolkits

🥡 Text Representation

⚙️ Inference Engines

🌗 Model Scalability

🏎️ Model Compression/Acceleration

🏹️ Adversarial Attack

🔁 Style Transfer

💢 Sentiment Analysis

🗺 Translation

📖 Knowledge and Entity

🎙 Speech

🤯 Multi-modality

💁 Recommender Systems

⚖️ Evaluation

🔍 Neural Search

❓ Question Answering

🙅 Grammatical Error Correction