AI Index Report 2023 – Artificial Intelligence Index creates or edits images with generative AI and text-based controls.
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Embedding Similarity Calculator provides machine-learning models, research, training resources, or evaluation tools.
Functions and data dependencies for loading various word embeddings.
A project to make it easier to use large external knowledge bases with LLMs.
The Quiet-Broke Index applies AI to data analysis, extraction, visualization, or business intelligence.
AI Native database for embedding vectors.
Framework to create ChatGPT like bots over your dataset.
ImageBind One Embedding Space to Bind Them All.
A highly-modular C++ machine learning library for embedded electronics and robotics.
Helps find, analyze or synthesize information for research and knowledge discovery.
Datawrapper An open source data visualization platform helping everyone to create simple, correct and embeddable charts. Also at.
Deploy and scale machine learning models on Kubernetes. Built for LLMs, embeddings, and speech-to-text.
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
Milvus is open source vector database for production AI, written in Go and C++, scalable and blazing fast for billions of embedding vectors.
OpenAI compatible API for LLMs and embeddings (LLaMA, Vicuna, ChatGLM and many others).
CEA-List's CAD framework for designing and simulating Deep Neural Network, and building full DNN-based applications on embedded platforms.
A PyTorch-based framework to train and validate the models producing high-quality embeddings.
A general-purpose network embedding framework: pair-wise representations optimization Network Edit.
Dump all your files and chat with it using your generative AI second brain using LLMs & embeddings.
Dump all your files and chat with it using your generative AI second brain using LLMs & embeddings.
Bayesian optimization in high-dimensions via random embedding.
Easily compute CLIP embeddings and build a CLIP retrieval system with them.
Inference for text-embedding models.
Distributed system for embedding-based vector retrieval.