Alternatives and similar repositories for awesome-ml-experiment-management

Users that are interested in awesome-ml-experiment-management are comparing it to the libraries listed below

• aimhubio / aimlflow
  aim-mlflow integration
  ☆216Updated 2 years ago
• wandb / server
  W&B Server is the self hosted version of Weights & Biases
  ☆304Updated this week
• iterative / dvclive
  📈 Log and track ML metrics, parameters, models with Git and/or DVC
  ☆179Updated this week
• zeno-ml / zeno
  AI Data Management & Evaluation Platform
  ☆215Updated last year
• fidelity / spock
  spock is a framework that helps manage complex parameter configurations during research and development of Python applications
  ☆135Updated last year
• mit-ll-responsible-ai / hydra-zen
  Create powerful Hydra applications without the yaml files and boilerplate code.
  ☆392Updated this week
• pytorch-labs / torchfix
  TorchFix - a linter for PyTorch-using code with autofix support
  ☆145Updated 6 months ago
• dcai-course / dcai-course
  Introduction to Data-Centric AI, MIT IAP 2023 🤖
  ☆103Updated last month
• Yard1 / ray-skorch
  Distributed skorch on Ray Train
  ☆58Updated 2 years ago
• Renumics / awesome-open-data-centric-ai
  Curated list of open source tooling for data-centric AI on unstructured data.
  ☆722Updated last year
• ray-project / ray_lightning
  Pytorch Lightning Distributed Accelerators using Ray
  ☆213Updated last year
• codalab / codabench
  Codabench is a flexible, easy-to-use and reproducible benchmarking platform. Check our paper at Patterns Cell Press https://hubs.li/Q01fw…
  ☆102Updated this week
• aporia-ai / mlops.toys
  🎲 A curated list of MLOps projects, tools and resources
  ☆186Updated last year
• loglabs / mltrace
  Coarse-grained lineage and tracing for machine learning pipelines.
  ☆470Updated 2 years ago
• facebookresearch / recipes
  Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research…
  ☆324Updated last week
• Modalities / modalities
  Modalities, a PyTorch-native framework for distributed and reproducible foundation model training.
  ☆85Updated this week
• gretelai / awesome-synthetic-data
  📖 A curated list of resources dedicated to synthetic data
  ☆132Updated 3 years ago
• clearml / clearml-serving
  ClearML - Model-Serving Orchestration and Repository Solution
  ☆154Updated 2 weeks ago
• allenai / tango
  Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.
  ☆562Updated last year
• Slicer / light-the-torch
  Install PyTorch distributions with computation backend auto-detection
  ☆254Updated 3 months ago
• Lightning-AI / utilities
  Common Python utilities and GitHub Actions in Lightning Ecosystem
  ☆56Updated this week
• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆224Updated this week
• google / rax
  Rax is a Learning-to-Rank library written in JAX.
  ☆330Updated this week
• HuaizhengZhang / Active-Learning-as-a-Service
  A scalable & efficient active learning/data selection system for everyone.
  ☆214Updated last year
• spfrommer / torchexplorer
  Interactively inspect module inputs, outputs, parameters, and gradients.
  ☆347Updated 2 months ago
• TorchDrift / TorchDrift
  Drift Detection for your PyTorch Models
  ☆318Updated 2 years ago
• SeldonIO / tempo
  MLOps Python Library
  ☆119Updated 3 years ago
• mlcommons / croissant
  Croissant is a high-level format for machine learning datasets that brings together four rich layers.
  ☆682Updated this week
• belerico / lightning-rl
  ☆16Updated 2 years ago
• Giskard-AI / awesome-ai-safety
  📚 A curated list of papers & technical articles on AI Quality & Safety
  ☆188Updated 3 months ago