Popular GitHub Repositories for Embeddings Trained

The Memory layer for AI Agents

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

the AI-native open-source embedding database

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

FinGPT: Open-Source Financial Large Language Models! Revolutionize ? We release the trained model on HuggingFace.

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

PaddleFormers is an easy-to-use library of pre-trained large language model zoo based on PaddlePaddle.

Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)

100+ Chinese Word Vectors 上百种预训练中文词向量

Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/

The official GitHub page for the survey paper "A Survey of Large Language Models".

? All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

Retrieval and Retrieval-augmented LLMs

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

A collection of pre-trained, state-of-the-art models in the ONNX format

SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.

Java version of LangChain

A series of large language models trained from scratch by developers @01-ai

Leveraging BERT and c-TF-IDF to create easily interpretable topics.