Automated tool for running Python programs in a streamlined manner
-
Updated
Jan 12, 2026 - JavaScript
Automated tool for running Python programs in a streamlined manner
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 🚀
Easy Sweeps: A command-line utility for automating W&B sweep creation, launch, and GPU process management with ease.
Common deep learning utils.
Loop like a pro, make parameter studies fun.
AI-agent-friendly PyTorch research pipeline — one YAML config drives preflight, training, Optuna HPO, and real-time TUI monitoring
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 lightweight tool for efficiently managing and executing parallel experiments.
A python module for GPU device info by using nvidia-smi and assign DL tasks to GPU device automatically and execute parallelly
Autonomous multi-branch research lab. Branches compete for compute budget. The system converges on what works.
QXMT is a experiment management tool for quantum computing and quantum machine learning.
🔬 Lightweight experiment and configuration manager for small ML/DL projects and Kaggling
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 lightweight Python library for reproducible computational experiments with an ultra-simple, smart API. From idea to insight in under 5 minutes, with zero configuration.
🔬 LabOS — 下一代全自动科研实验平台 | Next-Gen AI Research Automation Platform | 四阶段流水线 · 多LLM配置 · Codex集成 · 远程GPU执行 · 记忆系统
Add a description, image, and links to the experiment-management topic page so that developers can more easily learn about it.
To associate your repository with the experiment-management topic, visit your repo's landing page and select "manage topics."