fairseq
Sequence model trainer
A toolkit for training custom sequence-to-sequence models for various NLP tasks
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
31k stars
425 watching
6k forks
Language: Python
last commit: 4 months ago
Linked from 4 awesome lists
artificial-intelligencepythonpytorch
keon/awesome-nlp
separius/awesome-sentence-embedding
amrzv/awesome-colab-notebooks
osyvokon/awesome-ukrainian-nlpRelated projects:
| Repository | Description | Stars |
|---|---|---|
 awslabs/sockeye | An open-source sequence-to-sequence framework for neural machine translation built on PyTorch. | 1,212 |
| facebookresearch/metaseq | A codebase for working with Open Pre-trained Transformers, enabling deployment and fine-tuning of transformer models on various platforms. | 6,519 |
 clips/pattern | A comprehensive Python module for web mining and analysis of text data. | 8,758 |
| facebookresearch/fairscale | A PyTorch extension library that provides high-performance and large-scale training techniques. | 3,210 |
 modelscope/adaseq | A comprehensive Python library for developing state-of-the-art sequence understanding models, providing pre-trained models and tools for natural language processing tasks. | 426 |
 locuslab/tcn | An empirical evaluation of generic convolutional and recurrent networks for sequence modeling | 4,204 |
 dair-ai/ml-papers-explained | An explanation of key concepts and advancements in the field of Machine Learning | 7,352 |
 elbayadm/attn2d | A PyTorch implementation of 2D convolutional neural networks for sequence-to-sequence prediction in machine translation | 502 |
 jwieting/iclr2016 | Code for training universal paraphrastic sentence embeddings and models on semantic similarity tasks | 193 |
 bentrevett/pytorch-sentiment-analysis | A tutorial repository for building sentiment analysis models with PyTorch using various architectures and techniques. | 4,419 |
 oxford-cs-deepnlp-2017/lectures | An open-source repository containing lecture slides and course materials for an advanced natural language processing course. | 15,702 |
 alex-berard/seq2seq | An attention-based sequence-to-sequence learning framework | 389 |
| facebookresearch/mmf | A modular framework for building vision and language multimodal research projects using PyTorch. | 5,510 |
 eladhoffer/seq2seq.pytorch | Provides tools and frameworks for training sequence-to-sequence models using PyTorch | 523 |
 trekhleb/homemade-machine-learning | Practices implementing popular machine learning algorithms from scratch to gain a deeper understanding of their mathematics | 23,191 |