Repository Index

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

• deep-learning
• machine-learning

State-of-the-Art Embeddings, Retrieval, and Reranking

Topic Modelling for Humans

• gensim
• topic-modeling
• information-retrieval
• machine-learning

Pretrained models for TensorFlow.js

A very simple framework for state-of-the-art Natural Language Processing (NLP)

• pytorch
• nlp
• named-entity-recognition
• sequence-labeling

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

• python
• search
• nlp
• semantic-search

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

• bert
• sentence-encoding
• deep-learning
• clip-model

Retrieval and Retrieval-augmented LLMs

• embeddings
• information-retrieval
• llm
• sentence-embeddings

Translated100+ Chinese Word Vectors

• chinese
• chinese-word-segmentation
• embeddings
• word-embeddings

Source code for Twitter's Recommendation Algorithm

ImageBind One Embedding Space to Bind Them All

Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

Postgres with GPUs for ML/AI apps.

• ml
• machine-learning
• ai
• ann

Train and evaluate embeddings for similarity search with PyTorch. Includes contrastive losses, hard example mining, samplers, and retrieval metrics.

• metric-learning
• deep-learning
• computer-vision
• machine-learning

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

• chinese
• computer-vision
• multi-modal-learning
• nlp

A blazing fast inference solution for text embeddings models

• ai
• embeddings
• huggingface
• llm

Translated:herb: Chinese synonyms: chatbot, intelligent question answering toolkit

• synonyms
• nlp
• chatbot
• ai

Translatedtext2vec, text to vector. A text vector representation tool that converts text into vector matrices. It implements text representation and text similarity calculation models such as Word2Vec, RankBM25, Sentence-BERT, and CoSENT, and works out of the box.

• similarity
• nlp
• text-similarity
• text2vec

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

• community-detection
• graph-clustering
• deepwalk
• networkx

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

• word2vec
• text-mining
• natural-language-processing
• glove

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

• nlp
• natural-language-processing
• artificial-intelligence
• embeddings

repository for Publicly Available Clinical BERT Embeddings

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

• deep-learning
• protein-sequences
• protein-structure
• semi-supervised-learning