Alternatives and similar repositories for mlpl

Users that are interested in mlpl are comparing it to the libraries listed below

• josephius / star-clustering
  A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.
  ☆219Updated 5 years ago
• genixpro / hypermax
  Better, faster hyper-parameter optimization
  ☆113Updated 2 years ago
• leopd / timebudget
  Stupidly-simple speed measurements for Python.
  ☆156Updated 3 years ago
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 6 years ago
• asappresearch / flambe
  An ML framework to accelerate research and its path to production.
  ☆269Updated last year
• evhub / bbopt
  Black box hyperparameter optimization made easy.
  ☆77Updated 2 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• blue-season / pywarm
  A cleaner way to build neural networks for PyTorch.
  ☆183Updated 6 years ago
• scitime / scitime
  Training time estimation for scikit-learn algorithms
  ☆124Updated 4 years ago
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆99Updated last year
• AI-DI / Brancher
  A user-centered Python package for differentiable probabilistic inference
  ☆203Updated 5 years ago
• szymonmaszke / torchfunc
  PyTorch functions and utilities to make your life easier
  ☆195Updated 4 years ago
• fastai / fastscript
  A fast way to turn your python function into a script
  ☆164Updated 3 years ago
• tensorwerk / hangar-py
  Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era.
  ☆205Updated 5 years ago
• sherpa-ai / sherpa
  Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
  ☆344Updated 5 years ago
• PetrochukM / HParams
  Configure Python functions explicitly and safely
  ☆128Updated last year
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆136Updated 7 years ago
• janfreyberg / superintendent
  Practical active learning in python
  ☆191Updated 3 years ago
• IBM / pytorchpipe
  PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and la…
  ☆226Updated 6 years ago
• ofnote / tsanley
  A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")
  ☆40Updated 6 years ago
• LGE-ARC-AdvancedAI / auptimizer
  An automatic ML model optimization tool.
  ☆199Updated 3 years ago
• hiredscorelabs / tamnun-ml
  An easy to use open-source library for advanced Deep Learning and Natural Language Processing
  ☆113Updated last year
• bbli / ml_board
  a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout…
  ☆129Updated 3 years ago
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆164Updated 7 months ago
• firmai / datagene
  DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
  ☆206Updated 4 years ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆400Updated 5 years ago
• levyben / DeepSuperLearner
  DeepSuperLearner - Python implementation of the deep ensemble algorithm
  ☆135Updated 7 years ago
• alegonz / baikal
  A graph-based functional API for building complex scikit-learn pipelines.
  ☆591Updated 3 years ago
• radekosmulski / python_musings
  ☆36Updated 6 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 3 years ago