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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
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）
computer vision and sports
- computer-vision
- deep-learning
- deep-neural-networks
- image-embeddings
A dialect of Lisp that's embedded in Python
- python
- hy
- lisps
- macros
On-device AI across mobile, embedded and edge for PyTorch
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
A collection of important graph embedding, classification and representation learning papers with implementations.
- graph2vec
- classification-algorithm
- graph-kernels
- weisfeiler-lehman
Official code base for LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels
Semantic search over videos using Gemini Embedding 2 or Qwen3-VL.
- chromadb
- dashcam
- gemini
- gemini-embedding-2
Blinker python library for hardware. Works with Raspberry Pi, Banan Pi, Linux devices
An Open-Source Package for Knowledge Embedding (KE)
- knowledge-embedding
Implementation and experiments of graph embedding algorithms.
- deepwalk
- node2vec
- line
- sdne
A python library for self-supervised learning and latent world models on images.
- deep-learning
- self-supervised-learning
- machine-learning
- computer-vision
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
- nlp
- sentence-embeddings
A library for transfer learning by reusing parts of TensorFlow models.
- tensorflow
- machine-learning
- transfer-learning
- embeddings
Open-source inference server and production cluster for all the models your agent needs.
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
- benchmark
- clustering
- information-retrieval
- sentence-transformers
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
- machine-learning
- convolutional-networks
- embedding-vectors
- embeddings
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
- embeddings
- openai
- rag
- retrieval
Siamese and triplet networks with online pair/triplet mining in PyTorch
- machine-learning
- deep-learning
- siamese-network
- triplet-loss
Top2Vec learns jointly embedded topic, document and word vectors.
- topic-modeling
- word-embeddings
- document-embedding
- topic-vector
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).