Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain | 基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答
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Updated
Aug 20, 2023 - Python
Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM) QA app with langchain | 基于 Langchain 与 ChatGLM 等语言模型的本地知识库问答
100+ Chinese Word Vectors 上百种预训练中文词向量
👑 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.
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.
Embedding, NMT, Text_Classification, Text_Generation, NER etc.
Minimum-distortion embedding with PyTorch
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
OpenL3: Open-source deep audio and image embeddings
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
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。
ACG2vec全称为Anime Comics Games to vector。本repo会持续维护一些基于二次元相关的深度学习领域实践与探索(文本语义检索、以图搜图、语义搜图等)。
Build AI applications, chatbots, and agents with JavaScript and TypeScript.
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
Multi-Hop Logical Reasoning in Knowledge Graphs
Add a description, image, and links to the embedding topic page so that developers can more easily learn about it.
To associate your repository with the embedding topic, visit your repo's landing page and select "manage topics."