A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀

More light-weight pytorch experiment management library!

A curated list of awesome open source and commercial platforms for serving models in production 🚀

A curated list of awesome open source and commercial MLOps platforms 🚀

Common deep learning utils.

A flexible PyTorch template for ML experiments with configuration management, logging, and hyperparameter optimization.

⭐ A lightweight tool for efficiently managing and executing parallel experiments.

A tool for remote experiment management

A git worktree-based CLI tool for efficient management and navigation of multiple isolated experiments in parallel development workflows 🐒

A python module for GPU device info by using nvidia-smi and assign DL tasks to GPU device automatically and execute parallelly

🔬 Lightweight experiment and configuration manager for small ML/DL projects and Kaggling

QXMT is a experiment management tool for quantum computing and quantum machine learning.

​​MATLAB example on how to utilize the Experiment Manager app to fine tune portfolio optimization parameters​

Demonstration about how to use DVC(Data Version Control)

A powerful, interactive Go playground manager with a beautiful TUI - create, manage, and organize your Go experiments with style 🚀

Begin your next deep learning project with widely-used and user-friendly experiment management features.