CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
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State-of-the-Art Embeddings, Retrieval, and Reranking
Topic Modelling for Humans
- gensim
- topic-modeling
- information-retrieval
- machine-learning
A very simple framework for state-of-the-art Natural Language Processing (NLP)
💡 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
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
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
PyTorch code and models for V-JEPA self-supervised learning from video.
An Open-Source Package for Knowledge Embedding (KE)
- knowledge-embedding
Implementation and experiments of graph embedding algorithms.
- deepwalk
- node2vec
- line
- sdne
Representation learning on large graphs using stochastic graph convolutions.
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
- nlp
- sentence-embeddings
骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技
Open-source inference server and production cluster for all the models your agent needs.
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
- machine-learning
- convolutional-networks
- embedding-vectors
- embeddings
A python package to analyze and compare voices with deep learning