Alternatives and similar repositories for automl_comparison:

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

• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago
• cedrickchee / pytorch-serving
  [UNMAINTAINED] A starter pack for creating a lightweight responsive web app for Fast.AI PyTorch models.
  ☆16Updated 6 years ago
• amueller / structured-prediction-workshop
  Introduction to structured prediction with Python and pystruct
  ☆18Updated 6 years ago
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆59Updated 5 years ago
• khuangaf / Kaggle-Avito-NN
  The 18th Place Solution to Avito Demand Prediction Challenge
  ☆26Updated 5 years ago
• mkurovski / emnist_dl2prod
  JuPyter Notebooks and Python Package for Deep Learning Model Exploration, Translation and Deployment
  ☆30Updated 5 years ago
• alexeygrigorev / classifying-crisis-reports-dsc
  The top 10 solution to the "Growing Instability: Classifying Crisis Reports" challenge
  ☆21Updated 7 years ago
• mllite / keras2sql
  Deep Learning (Keras) Models Deployment using SQL databases
  ☆17Updated 5 years ago
• danielhanchen / sciblox
  sciblox - Easier Data Science and Machine Learning
  ☆50Updated 7 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 4 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• nelson-liu / pytorch-paper-classifier
  A simple model for classifying papers by academic venue (AI/ML/ACL), given a title and abstract. Bare-metal PyTorch port of https://gith…
  ☆12Updated 7 years ago
• Azure / fast_retraining
  Show how to perform fast retraining with LightGBM in different business cases
  ☆54Updated 5 years ago
• Didayolo / autopandas
  Process, visualize and use data easily.
  ☆20Updated last year
• goldentom42 / py_ml_utils
  Python utilities for Machine Learning competitions
  ☆32Updated 7 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 8 years ago
• NighTurs / kaggle-cdiscount-image-classification
  ☆13Updated 5 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago
• fridiculous / estimators
  Machine Learning Versioning made Simple
  ☆38Updated 2 years ago
• radekosmulski / cifar10_docker
  ☆52Updated 6 years ago
• anki1909 / Recruit-Restaurant-Visitor-Forecasting
  6th place solution for Recruit-Restaurant-Visitor-Forecasting
  ☆17Updated 7 years ago
• lopusz / pydata-berlin-2018
  ☆15Updated 6 years ago
• datarobot / pic2vec
  Lightweight Image Featurization Made Easy
  ☆31Updated 3 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 8 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 years ago
• haozhenWu / Calibrated-Boosting-Forest
  Original implementation of Calibrated Boosting-Forest
  ☆18Updated 7 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 years ago
• pierre-chaville / automlk
  automated machine learning toolkit
  ☆15Updated 6 years ago
• zygmuntz / gaussrank
  Preparing continuous features for neural networks with GaussRank
  ☆45Updated 7 years ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆49Updated 6 years ago