Alternatives and similar repositories for mltest:

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

• studioml / studio
  Studio: Simplify and expedite model building process
  ☆381Updated 8 months ago
• depthfirstlearning / depthfirstlearning.com
  ☆195Updated 7 months ago
• Kaixhin / FGLab
  Future Gadget Laboratory
  ☆223Updated 7 years ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• RJT1990 / mantra
  A high-level, rapid development framework for machine learning projects
  ☆345Updated last year
• williamFalcon / test-tube
  Python library to easily log experiments and parallelize hyperparameter search for neural networks
  ☆734Updated 2 years ago
• MagNet-DL / magnet
  Deep Learning Projects that Build Themselves
  ☆360Updated 6 years ago
• ModelChimp / modelchimp
  Experiment tracking for machine and deep learning projects
  ☆127Updated last year
• suriyadeepan / torchtest
  Unit Testing for pytorch, based on mltest
  ☆310Updated 4 years ago
• fastai / fastai_old
  OLD REPO - PLEASE USE fastai/fastai
  ☆180Updated 2 years ago
• chovanecm / sacredboard
  Dashboard for sacred. Monitor and access your past machine learning experiments.
  ☆183Updated 6 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• henripal / labnotebook
  LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
  ☆533Updated 6 years ago
• dvgodoy / deepreplay
  Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!
  ☆277Updated last year
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 5 years ago
• bbli / ml_board
  a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout…
  ☆128Updated 2 years ago
• salesforce / matchbox
  Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.
  ☆484Updated 3 years ago
• vyraun / Megalodon
  Various ML/DL Resources organised at a single place.
  ☆186Updated 3 years ago
• harvardnlp / namedtensor
  Named Tensor implementation for Torch
  ☆444Updated 2 years ago
• alessiamarcolini / deep-learning_best-practices
  ☆107Updated 6 years ago
• radekosmulski / quickdraw
  ☆168Updated 6 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆107Updated 4 years ago
• mitdbg / fastdeepnets
  ☆113Updated 2 years ago
• dennybritz / papergraph
  AI/ML citation graph with postgres + graphql
  ☆187Updated 4 years ago
• vasiloglou / mltrain-nips-2017
  This repository contains all the material for the MLTrain NIPS workshop
  ☆246Updated 7 years ago
• tensorflow / lattice
  Lattice methods in TensorFlow
  ☆518Updated 7 months ago
• brain-research / guided-evolutionary-strategies
  Guided Evolutionary Strategies
  ☆269Updated last year
• toodef / neural-pipeline
  Neural networks training pipeline based on PyTorch
  ☆311Updated 4 years ago
• amarasovic / interpretability-literature
  ☆264Updated 5 years ago
• QUVA-Lab / artemis
  Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machi…
  ☆238Updated last year