🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Flower: A Friendly Federated Learning Framework

眼迹AI是一套集成了面部识别和物体检测功能的系统，它能够实时监控环境并在检测到危险情况时自动向服务器发送警报，从而迅速通知当局应对风险。对于司机而言，时常面临乘客可能实施抢劫或其他不当行为的潜在威胁。通过在您的手机或行车记录仪上部署这一AI系统，不仅能提供即时的安全保障，还能在关键时刻为您节省宝贵的求助时间，确保您能在第一时间获得必要的帮助。

(ICML 2023) High Fidelity Image Counterfactuals with Probabilistic Causal Models

AI-FitnessTrainer using YOLOv8-pose

强化学习

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Docker and Flask based API layer + data ingestion pipeline for the Facenet-PyTorch facial recognition library. I.e. simple ML deployment for matching pairs of photos

A universal scalable machine learning model deployment solution

AI工程实践：记载工程实践问题的解决策略与关键要点，分享各种实用案例，追踪前沿技术发展，囊括 AI 全栈知识，涵盖大模型、编程技术、机器学习、深度学习、强化学习、图神经网络、语音识别、NLP 及图像识别等领域等

Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.

A high-throughput and memory-efficient inference and serving engine for LLMs

Base image for python projects needing torch

0th order (derivative-free) optimizers for pytorch

An I/O benchmark for deep Learning applications

The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

Convolutional Autoencoders for Human Motion Infilling(Unofficial pytorch version implementation)