NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.

Hubness analysis and removal functions

Deep recommender models using PyTorch.

REGAIN (Regularised Graphical Inference)

Python Meta-Feature Extractor package.

Input Output Hidden Markov Model (IOHMM) in Python

Python tools for healthcare machine learning

Features selector based on the self selected-algorithm, loss function and validation method

⚡ A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

pymc-learn: Practical probabilistic machine learning in Python

A garden for scikit-learn compatible trees

Large scale training of factorization models for Collaborative Filtering with PyTorch

Gaussian process modelling in Python

⭐🚀 Gradient boosting on steroids

Training time estimation for scikit-learn algorithms

SchNetPack - Deep Neural Networks for Atomistic Systems

Python implementation of elastic-net regularized generalized linear models

Implementation of Anticipatory Learning Classifiers System (ALCS) in Python

Parameterized fit and prediction harnesses for pytorch

Dimensionality reduction in very large datasets using Siamese Networks

Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).

Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support

Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.

EntroPy: complexity of time-series in Python (DEPRECATED)

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Stochastic multi-stream sampling for iterative learning