Alternatives and similar repositories for dst

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

• DenisVorotyntsev / CategoricalEncodingBenchmark
  Benchmarking different approaches for categorical encoding for tabular data
  ☆172Updated 3 years ago
• Alex-Lekov / AutoML-Benchmark
  A Performance Benchmark of Different AutoML Frameworks
  ☆35Updated 2 years ago
• arsenyinfo / hookandlook
  A library helping to gather stats and run checks during training deep learning models with Pytorch
  ☆35Updated 3 years ago
• OptimizationGuys / CraftML
  CraftML is a restful web service for easy pipeline creation without code.
  ☆13Updated 4 years ago
• catalyst-team / reaction
  Convenient DL serving
  ☆72Updated 3 years ago
• imdeepmind / NeuralPy
  NeuralPy: A Keras like deep learning library works on top of PyTorch
  ☆79Updated last year
• dan0nchik / SAP-HANA-AutoML
  Python Automated Machine Learning library for tabular data.
  ☆48Updated 2 years ago
• shaz13 / katana
  Katana project is a FastAPI template for ASAP 🚀 ML API deployment
  ☆112Updated last year
• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆97Updated 10 months 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
• Alex-Lekov / AutoML_Alex
  State-of-the art Automated Machine Learning python library for Tabular Data
  ☆233Updated last year
• catalyst-team / catalyst-info
  ☆27Updated 5 years ago
• catalyst-team / alchemy
  Experiments logging & visualization
  ☆50Updated 3 years ago
• Scitator / kittylyst
  A tiny Catalyst-like experiment runner framework on top of micrograd.
  ☆51Updated 4 years ago
• catalyst-team / awesome-catalyst-list
  ☆54Updated 5 years ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 4 years ago
• mlrepa / dvc-2-iris-demo-project
  Data Version Control (DVC) tutorial 2. Iris Demo Project
  ☆14Updated 2 years ago
• kartik4949 / TensorPipe
  High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.
  ☆85Updated 3 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.
  ☆102Updated 3 years ago
• MyLtYkRiTiK / ComputerVision_Tutorials
  ☆44Updated 5 years ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆57Updated 4 years ago
• arsenyinfo / ceevee
  Python library for various computer vision problems with a focus on easy usage.
  ☆18Updated 4 years ago
• ahthie7u / cockpit
  Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"
  ☆31Updated 4 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• aabzaliev / google-coreference-3rd-place
  Code for the 3rd place in the kaggle competition https://www.kaggle.com/c/gendered-pronoun-resolution/
  ☆29Updated 6 years ago
• osai-ai / dokai
  Collection of Docker images for ML/DL and video processing projects
  ☆109Updated 8 months ago
• synthesized-io / fairlens
  Identify bias and measure fairness of your data
  ☆94Updated last week
• catalyst-team / classification
  Catalyst.Classification
  ☆36Updated 3 years ago
• Dumbris / trunklucator
  Python module for data scientists for quick creating annotation projects.
  ☆83Updated 4 years ago