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Mljar Supervised
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2,867
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Advisor
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1,202
Open-source implementation of Google Vizier for hyper parameters tuning
Hyperparameter Optimization Of Machine Learning Algorithms
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1,025
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Carefree Learn
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400
Deep Learning ❤️ PyTorch
Attentionwalk
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299
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Origami
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147
🔓 🔑 🔐 Origami: Artificial Intelligence as a Service
Deep Quant
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98
Deep learning for forecasting company fundamental data
Rl
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75
Generic reinforcement learning codebase in TensorFlow
Hyper Engine
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69
Python library for Bayesian hyper-parameters optimization
Denser Models
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47
Biokeen
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43
A computational library for learning and evaluating biological knowledge graph embeddings - please see the main PyKEEN repo at https://github.com/pykeen/pykeen/
E2e Learning Self Driving Cars
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39
🚗 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch implementation of "End-to-End Learning for Self-Driving Cars" (arXiv:1604.07316) with Udacity's Simulation env
Mlrhyperopt
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31
Easy Hyper Parameter Optimization with mlr and mlrMBO.
Sacred_hyperopt_example
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22
A minimal example for integrating a general machine learning training script with SACRED experimental framework, and HyperOpt (Distributed Asynchronous Hyperparameter Optimization).
Benchmarking
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21
📊 Results from the reproducibility and benchmarking studies presented in "Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework" (http://arxiv.org/abs/2006.13365)
Credit
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18
An example project that predicts risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset.
Fast_prototype
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15
This is a machine learning framework that enables developers to iterate fast over different ML architecture designs.
Hpbandster Sklearn
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15
A scikit-learn wrapper for HpBandSter hyper parameter search.
Post Attribution Baselines
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13
The repository for the submission "Visualizing the Impact of Feature Attribution Baselines"
Aml Class 19
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10
Lviv Data Science Summer School 2019 lecture on Automated Machine Learning
Deeplyr
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10
Unifying interface for several ml packages
Treewidth Prediction
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8
Prediction of Treewidth using Graph Neural Network, developed as part of PFN summer internship 2019.
Htlr
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8
Bayesian Logistic Regression with Hyper-LASSO priors
Fluentopt
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6
A flexible hyper-parameter optimization library for machine learning
Ml Paper Checklist
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6
Checklist of basic stuff for ML papers
Startml
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6
R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.
Issueslanguagemodel
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6
A Language model trained on a large corpus of GitHub Issues
Hptuning
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5
Machine Learning Hyper-parameter Tuning processes
Distributed Smartml
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5
Hyper Optimizer
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5
Convenient classes for optimizing Hyper-parameters, using Random search, Spearmint and SigOpt
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