Alternatives and similar repositories for issue-tracking

Users that are interested in issue-tracking are comparing it to the libraries listed below

• hyperdashio / hyperdash-sdk-py
  Official Python SDK for Hyperdash
  ☆201Updated 4 years ago
• Kaixhin / FGLab
  Future Gadget Laboratory
  ☆221Updated 7 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
• studioml / studio
  Studio: Simplify and expedite model building process
  ☆380Updated last year
• ModelChimp / modelchimp
  Experiment tracking for machine and deep learning projects
  ☆128Updated last year
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆199Updated last year
• dominiek / python-bhtsne
  Python module for Barnes-Hut implementation of t-SNE (Cython)
  ☆114Updated 7 years ago
• chaserileyroberts / mltest
  Testing framework to simplify writing ML unit tests.
  ☆346Updated 6 years ago
• chovanecm / sacredboard
  Dashboard for sacred. Monitor and access your past machine learning experiments.
  ☆184Updated 6 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆107Updated 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…
  ☆239Updated last year
• nextml / NEXT
  NEXT is a machine learning system that runs in the cloud and makes it easy to develop, evaluate, and apply active learning in the real-wo…
  ☆164Updated last year
• IndicoDataSolutions / Enso
  Enso: An Open Source Library for Benchmarking Embeddings + Transfer Learning Methods
  ☆96Updated 4 years ago
• amauboussin / arxiv-twitterbot
  Twitterbot that uses machine learning to curate interesting arXiv papers
  ☆43Updated 7 years ago
• alecrubin / pytorch-serverless
  FastAI PyTorch Serverless API (w/ AWS Lambda)
  ☆153Updated 7 years ago
• gurvindersingh / mlapp
  ML model serving app based on APIs
  ☆72Updated 3 years ago
• brannondorsey / keras_weight_animator
  Save keras weight matrices as short animated videos during training
  ☆105Updated 8 years ago
• minerva-ml / steppy
  Lightweight, Python library for fast and reproducible experimentation
  ☆136Updated 6 years ago
• vasiloglou / mltrain-nips-2017
  This repository contains all the material for the MLTrain NIPS workshop
  ☆244Updated 7 years ago
• szilard / benchm-dl
  Playing with various deep learning tools and network architectures
  ☆70Updated 8 years ago
• Kaixhin / FGMachine
  Future Gadget Machine
  ☆68Updated 7 years ago
• AI-ON / Few-Shot-Music-Generation
  ☆158Updated 6 years ago
• mitdbg / fastdeepnets
  ☆113Updated 2 years ago
• radekosmulski / aws-setup
  ☆28Updated 7 years ago
• ArtificialIntelligenceToolkit / conx
  The On-Ramp to Deep Learning
  ☆97Updated last year
• tesserai / tfi
  Use any TensorFlow model in a single line of code
  ☆151Updated 6 years ago
• kzuiderveld / deeplearning1
  Experiments for Jeremy Howard's deep learning courses
  ☆39Updated 8 years ago
• bminixhofer / permon
  A tool to monitor everything you want. Clean, simple, extensible and in one place.
  ☆82Updated 4 years ago
• tensorflow / tensorboard-plugin-example
  ☆135Updated 6 years ago
• brain-research / data-linter
  The Data Linter identifies potential issues (lints) in your ML training data.
  ☆89Updated 7 years ago