400+ AI Models: Rich, high-quality AI models, including CV, NLP, Speech, Video and Cross-Modal. Easy to Use: 3 lines of code to predict 400+ AI models. - PaddlePaddle/PaddleHub

Simple and Distributed Machine Learning. Contribute to microsoft/SynapseML development by creating an account on GitHub.

OpenMMLab Model Deployment Framework. Contribute to open-mmlab/mmdeploy development by creating an account on GitHub.

Making large AI models cheaper, faster and more accessible - hpcaitech/ColossalAI

nannyml: post-deployment data science in python. Contribute to NannyML/nannyml development by creating an account on GitHub.

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8...

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focuse...

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics. - evidentlyai/evidently

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test ...

🐢 Open-Source Evaluation & Testing library for LLM Agents - Giskard-AI/giskard-oss