PyTorch Lightning + Hydra. A very general, feature-rich template for rapid and scalable ML experimentation with best practices. ⚡🔥⚡

Code for Kaggle and Offline Competitions

SEML: Slurm Experiment Management Library

Deploy MLflow with HTTP basic authentication using Docker

GitHub Action That Retrieves Model Runs From Weights & Biases

Tutorial on experiment tracking and reproducibility for Machine Learning projects with DVC

Lightning Talk about sacred at PyData Berlin

CmdInterface enables detailed logging of command line and python experiments in a very lightweight manner (coding wise). It wraps your command line or python function calls in a few lines of python code and logs everything you might need to reproduce the experiment later on or to simply check what you did a couple of years ago.

Faculty platform plugin for MLflow

Neptune examples

ML tracker adapters

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

Example project with scikit-learn and neptune.

Example of how to use MATLAB Experiment Manager to test different classifiers for skin lesion classification using transfer learning.

Source code for project with tour-tf-keras.

Code used in the "example-project" in neptune.

Experiment tracking with MLFlow.

🔥 fastai machine learning experiment tracker - creates backup of all data and hyperparameters used in .ipynb so you could reproduce best results and avoid loosing them!

Verta ai ModelDB on AWS Cloud with integration into Amazon SageMaker for ML training data versioning and experiment tracking

A simple workspace to work with Weights & Biases, with automatic CSV dataframe generation

Submit Python jobs to workers at the UIUC Language & Learning Lab