bert

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

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN

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。

Bringing BERT into modernity via both architecture changes and scaling

PaddleSlim is an open-source library for deep model compression and architecture search.

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

Pre-trained Chinese ELECTRA（中文ELECTRA预训练模型）

Korean BERT pre-trained cased (KoBERT)

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

⭕ N2O: Distributed WebSocket Application Server ISO 20922

自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

An elegent pytorch implement of transformers

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary.ai.

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and 🔜 video, up to 5x faster than OpenAI CLIP and LLaVA 🖼️ & 🖋️

Best practice TTS based on BERT and VITS with some Natural Speech Features Of Microsoft; Support ONNX streaming out!

Neural Network Compression Framework for enhanced OpenVINO™ inference

💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️

A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo