Alternatives and similar repositories for neptune-mlflow

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

• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆136Updated 7 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆108Updated 5 years ago
• caioaao / wolpert
  A stacked generalization framework. Built on top of scikit learn
  ☆58Updated 2 years ago
• comet-ml / issue-tracking
  Questions, Help, and Issues for Comet ML
  ☆86Updated 10 months ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• sigopt / sigopt-python
  Simple Python interface for the SigOpt API
  ☆71Updated 2 months ago
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 5 years ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 4 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆189Updated 6 years ago
• bbli / ml_board
  a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout…
  ☆129Updated 2 years ago
• anodot / MLWatcher
  ☆96Updated 5 years ago
• chovanecm / sacredboard
  Dashboard for sacred. Monitor and access your past machine learning experiments.
  ☆185Updated 6 years ago
• szilard / benchm-dl
  Playing with various deep learning tools and network architectures
  ☆70Updated 8 years ago
• facebookresearch / dagger
  Experiment orchestration
  ☆102Updated 5 years ago
• catalyst-team / reaction
  Convenient DL serving
  ☆72Updated 4 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
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• gurvindersingh / mlapp
  ML model serving app based on APIs
  ☆72Updated 3 years ago
• mxbi / mlcrate
  A python module of handy tools and functions, mainly for ML and Kaggle
  ☆336Updated 4 years ago
• janfreyberg / superintendent
  Practical active learning in python
  ☆191Updated 3 years ago
• scitime / scitime
  Training time estimation for scikit-learn algorithms
  ☆124Updated 4 years ago
• MLWave / Black-Boxxy
  Some experiments into explaining complex black box ensemble predictions.
  ☆74Updated 5 years ago
• Kaixhin / FGLab
  Future Gadget Laboratory
  ☆221Updated 7 years ago
• ottogroup / dstoolbox
  Tools that make working with scikit-learn and pandas easier.
  ☆44Updated 3 weeks ago
• nitbix / toupee
  A library for Deep Learning Ensembles
  ☆27Updated 3 years ago
• janvdvegt / KernelMixtureNetwork
  Kernel Mixture Network implementation with some minor tweaks
  ☆45Updated 8 years ago
• dvgodoy / deepreplay
  Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!
  ☆282Updated 2 years ago
• ADGEfficiency / dsr-rl
  Reinforcement learning course at Data Science Retreat
  ☆42Updated 6 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
• ModelChimp / modelchimp
  Experiment tracking for machine and deep learning projects
  ☆128Updated 2 years ago