Alternatives and similar repositories for comet-for-mlflow

Users that are interested in comet-for-mlflow are comparing it to the libraries listed below

• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆77Updated 3 years ago
• SCCH-KVS / training-engine
  The stand-alone training engine module for the ALOHA.eu project.
  ☆15Updated 6 years ago
• Didayolo / autopandas
  Process, visualize and use data easily.
  ☆20Updated 2 years ago
• ModelChimp / modelchimp
  Experiment tracking for machine and deep learning projects
  ☆128Updated 2 years ago
• stanford-futuredata / Willump
  Willump Is a Low-Latency Useful Machine learning Platform.
  ☆45Updated 2 years ago
• google / nitroml
  NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Au…
  ☆43Updated 4 years ago
• determined-ai / yogadl
  yogadl, the flexible data layer
  ☆74Updated 2 years ago
• fastai / fastsql1
  A bit of extra usability for sqlalchemy v2.
  ☆78Updated last year
• hhsecond / ml2rt
  Machine learning utilities for model conversion, serialization, loading etc
  ☆27Updated 3 years ago
• polyaxon / polyaxon-examples
  Code for tutorials and examples
  ☆67Updated 2 years ago
• microsoft / Icebreaker
  This is the demo code associated with the paper: W. Gong , S. Tschiatschek, S. Nowozin, R.E. Turner, J.M. Hernández-Lobato, C.Zhang Icebr…
  ☆44Updated 6 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• mljar / automl_comparison
  Comparison of automatic machine learning libraries
  ☆29Updated 8 years ago
• hypergol / hypergol
  Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…
  ☆53Updated 2 years ago
• boxkite-ml / boxkite
  Concept drift monitoring for HA model servers.
  ☆101Updated 2 years ago
• criteo / deepr
  The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators
  ☆53Updated 2 years ago
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆164Updated 5 months ago
• ucbrise / flor
  FlorDB 🌻
  ☆157Updated 2 months ago
• fastai / ethics.fast.ai
  The fast.ai data ethics course
  ☆17Updated 2 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆108Updated 5 years ago
• h2oai / wave-ml
  Automatic Machine Learning (AutoML) for Wave Apps
  ☆32Updated 2 years ago
• RedisAI / redisai-examples
  RedisAI showcase
  ☆57Updated last year
• ml-tooling / lazycluster
  🎛 Distributed machine learning made simple.
  ☆49Updated 2 years ago
• radekosmulski / fastai-rails
  ☆25Updated 2 years ago
• catalyst-team / alchemy
  Experiments logging & visualization
  ☆50Updated 4 years ago
• brain-research / data-linter
  The Data Linter identifies potential issues (lints) in your ML training data.
  ☆88Updated 8 years ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆104Updated 4 years ago
• d18s / awesome-machine-learning-engineering
  A curated list of articles, papers and tools for managing the building and deploying of machine learning models, aka machine learning eng…
  ☆19Updated 7 years ago