alchemy
Experiment tracker
Provides tools and infrastructure to log and visualize experiments in deep learning research
Experiments logging & visualization
50 stars
7 watching
2 forks
Language: Python
last commit: over 3 years ago deep-learningexperiment-trackinfrastructurekerasmachine-learningpytorchreinforcement-learningreproducibilityresearchtensorflow
Related projects:
| Repository | Description | Stars |
|---|---|---|
 neptune-ai/neptune-client | An experiment tracker for machine learning model training that allows users to log and visualize their experiments in detail. | 590 |
 alephbet/gimel | An A/B testing backend built using AWS Lambda and Redis HyperLogLog to efficiently track experiment data in a scalable and cost-effective manner. | 227 |
 replicate/keepsake | A tool for version control of machine learning experiments | 1,649 |
| catalyst-team/reaction | A platform for convenient and efficient serving of deep learning models. | 72 |
 deepkit/deepkit-ml | An open-source machine learning development and training suite with tools for executing, tracking, and debugging experiments. | 367 |
 google-deepmind/tapnet | A deep learning project for tracking points in video sequences | 1,340 |
 trekhleb/machine-learning-experiments | An interactive platform for exploring and comparing various machine learning algorithms and techniques using visualizations and example code. | 1,667 |
| catalyst-team/neuro | A 3D brain segmentation pipeline using Python and the Catalyst framework. | 19 |
 curiosity-ai/catalyst | A C# Natural Language Processing library with pre-trained models and tools for building custom models | 752 |
 martin-danelljan/eco | A Matlab implementation of a real-time tracker using convolutional neural networks for object tracking in visual environments. | 612 |
 truera/trulens | A tool to evaluate and track the performance of large language model (LLM) experiments | 2,233 |
 rlworkgroup/dowel | A tool for logging and tracking machine learning research progress in Python | 32 |
| catalyst-team/catalyst-rl | A PyTorch framework for accelerating reinforcement learning research and development by providing a modular, reusable, and customizable training loop | 46 |
 breakend/experiment-impact-tracker | A tool to track energy usage and environmental impact of computer systems | 277 |
 quant-aq/aeromancy | An open-sourced framework for building reproducible AI and ML experiments with detailed tracking of experimental configurations. | 11 |