 aim
 aim 
 Experiment tracker
 An experiment tracking tool designed to handle large numbers of training runs and provide a UI for exploring and comparing results.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
5k stars
 45 watching
 323 forks
 
Language: Python 
last commit: 11 months ago 
Linked from   3 awesome lists  
  aidata-sciencedata-visualizationexperiment-trackingmachine-learningmetadatametadata-trackingmlmlflowmlopsprompt-engineeringpythonpytorchtensorboardtensorflowvisualization 
 Related projects:
| Repository | Description | Stars | 
|---|---|---|
|  | An experiment tracker for machine learning model training that allows users to log and visualize their experiments in detail. | 590 | 
|  | Provides tools and infrastructure to log and visualize experiments in deep learning research | 50 | 
|  | A software framework for organizing and running machine learning experiments with Python. | 533 | 
|  | A platform for managing machine learning projects from inception to deployment | 19,021 | 
|  | A platform for training, serving, and evaluating large language models to enable tool use capability | 4,888 | 
|  | Enables rapid creation and deployment of web applications for machine learning models and functions using Python | 34,557 | 
|  | A platform that enables the development, scaling, and deployment of machine learning systems, providing tools for data science projects. | 8,341 | 
|  | A platform providing data, models, and evaluation benchmarks for large language models to promote accessibility and democratization of AI technology | 2,938 | 
|  | A system designed to streamline the process of creating and managing training data for machine learning models with weak supervision. | 5,826 | 
|  | A framework for training large multimodal models to generate text conditioned on images or other text. | 3,781 | 
|  | An adaptive experimentation platform with support for various optimization strategies and flexible APIs. | 2,392 | 
|  | An interactive platform for exploring and comparing various machine learning algorithms and techniques using visualizations and example code. | 1,667 | 
|  | Tools for streamlined mixed precision and distributed training in PyTorch | 8,460 | 
|  | A comprehensive video understanding toolbox and benchmark with modular design, supporting various tasks such as action recognition, localization, and retrieval. | 4,360 | 
|  | Practices implementing popular machine learning algorithms from scratch to gain a deeper understanding of their mathematics | 23,191 |