Popular GitHub Repositories for Compatibility

CSGHub is a brand-new open-source platform for managing LLMs, developed by the OpenCSG team. It offers both open-source and on-premise/SaaS solutions, with features comparable to Hugging Face. Gain full control over the lifecycle of LLMs, datasets, and agents, with Python SDK compatibility with Hugging Face. Join us! ??

PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/PALISADE as backends, implemented using Cython.

WhiteLightning distills massive, state-of-the-art language models into lightweight, hyper-efficient text classifiers. It's a command-line tool that lets you create specialized models that run anywhere—from the cloud to the edge—using the universal ONNX format for maximum compatibility.

The ultimate solution for managing image metadata and multi-tool compatibility. ComfyUI node version of the SD Prompt Reader

Video-Inpaint-Anything: This is the inference code for our paper CoCoCo: Improving Text-Guided Video Inpainting for Better Consistency, Controllability and Compatibility.

Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)

? echoOLlama: A real-time voice AI platform powered by local LLMs. Features WebSocket streaming, voice interactions, and OpenAI API compatibility. Built with FastAPI, Redis, and PostgreSQL. Perfect for private AI conversations and custom voice assistants.

[WWW 2019] Code and dataset for "Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks"

A guidance compatibility layer for llama-cpp-python

Learning Compatible Embeddings, ICCV 2021

Scoreboard for ONNX Backend Compatibility

LocalAPI.AI is a local AI management tool for Ollama, offering Web UI management and compatibility with vLLM, LM Studio, llama.cpp, Mozilla-Llamafile, Jan Al, Cortex API, Local-LLM, LiteLLM, GPT4All, and more.

Convert Hugging Face tokenizers to ONNX models for cross-language compatibility (.NET, Java, Python) with embedding models

MinimalGPT is a concise, adaptable, and streamlined code framework that encompasses the essential components necessary for the construction, training, inference, and fine-tuning of the GPT model. This framework is implemented exclusively using Keras and TensorFlow, ensuring compatibility and coherence within the broader deep learning ecosystem.

ClickHouse Native Protocol Rust Client w/ Arrow Compatibility

Compatibility Family Learning for Item Recommendation and Generation

Bash script to easily install AUTOMATIC1111's Stable Diffusion WebUI while resolving compatibility issues with Fedora.

An unofficial pytorch implementation of the BiHDM model proposed by Yang et al. for decoding emotion from multi-channel EEG recordings, with scikit-learn compatibility.

A tool which checks compatibility of CoreML model with Apple Neural Engine

Script to check ONNX model compatibility against TensorRT versions using docker images