bert

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

A Unified Library for Parameter-Efficient and Modular Transfer Learning

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

Datasets, tools, and benchmarks for representation learning of code.

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Multi-Task Deep Neural Networks for Natural Language Understanding

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Super easy library for BERT based NLP models

Transformers 库快速入门教程

Self-contained Machine Learning and Natural Language Processing library in Go

自然语言处理、知识图谱、对话系统，大模型等技术研究与应用。

:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Bringing BERT into modernity via both architecture changes and scaling

jiant is an nlp toolkit

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

Korean BERT pre-trained cased (KoBERT)