👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

100+ Chinese Word Vectors 上百种预训练中文词向量

A community-driven way to read and chat with AI bots - powered by chatGPT.

Siamese and triplet networks with online pair/triplet mining in PyTorch

A curated list of community detection research papers with implementations.

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

Extensible, parallel implementations of t-SNE

ChatWeb can crawl web pages, read PDF, DOCX, TXT, and extract the main content, then answer your questions based on the content, or summarize the key points.

Four word embedding models implemented in Python. Supporting arbitrary context features

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

Minimum-distortion embedding with PyTorch

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.

Multi-Hop Logical Reasoning in Knowledge Graphs

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques