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hyperopt-sklearn

Hyper-parameter optimization for sklearn

implicit

Fast Python Collaborative Filtering for Implicit Datasets

iowncode

A curated collection of iOS, ML, AR resources sprinkled with some UI additions

ipythontheanotutorials

kaggle-santander

2016 Kaggle competition for Santander Customer Satisfaction.

keras

Theano-based Deep Learning library (convnets, recurrent neural networks, and more).

keras-emoji-embeddings

A Keras implementation of the UCLMR approach to generating embeddings for Unicode emoji from their descriptions.

lasagne

Lightweight library to build and train neural networks in Theano

laurae

Advanced High Performance Data Science Toolbox for R by Laurae

lda2vec

lectures

Oxford Deep NLP 2017 course

libfm

Library for factorization machines

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

mcfly

A deep learning tool for time series classification

medium_notebook

Repository containing notebooks of my posts on Medium

metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

ml-from-scratch

Bare bones Python implementations of some of the foundational Machine Learning models and algorithms.

mlalgorithms

Minimal and clean examples of machine learning algorithms

mlatimperial2016

Materials for the course of machine learning at Imperial College organized by YSDA

mlhep2016

MLHEP 2016 materials

networkx

Official NetworkX mirror

neural_prophet

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

open-network-insight

Open Network Insight is an open source solution for packet and flow analytics on Hadoop. It provides ingest and transform of binary data, scalable machine learning, and interactive visualization for identifying threats in network flows and DNS packets. Open Network Insight uses the open source projects Jupyter, nfdump, wireshark, and D3.

or-gym

Environments for OR and RL Research

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

programming-collective-intelligence

Examples from Programming Collective Intelligence

pyfm

Factorization machines in python

pysparnn

Approximate Nearest Neighbor Search for Sparse Data in Python!