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active-inference

A toy model of Friston's active inference in Tensorflow

active-learning

amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

auto-sklearn

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

bayesian-expectation-modeling

bngenerator

Automatically exported from code.google.com/p/bngenerator

bngenerator-v4

cosmomvpa

A lightweight multivariate pattern analysis (MVPA) toolbox in Matlab / Octave

datapiques_source

Source for blog.ethanrosenthal.com

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-portfolio-theory

Deep Learning framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deepgp

Deep Gaussian Processes in matlab

dpcca-python

Step-by-step computation of the detrended partial correlation analysis (DPCCA) coefficient in Python

dynamic-graph-metrics

gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hmm-mar

Toolbox for segmentation and characterisation of transient connectivity

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

ji_pythonlab

Some useful Python codes

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

lilabyale

Repository with scripts and data used in research conducted at the laboratory led by Prof. Chiang-shan R. Li at Yale University (LiLabYale). It also hosts the ABCD1000 Pediatric Template constructed from 1000 children, including an average anatomical brain and tissue probability maps (TPM) compatible with SPM/Dartel.

motion_tracking

An example of using OpenCV with Python to track motion in real time

nxt-python

NXT-Python is a python driver/interface for the Lego Mindstorms NXT robot based on NXT_python.

oreilly-blog

code to accompany blog posts

pipelines

pydeepgp

Deep Gaussian Processes in Python

pyro

Deep universal probabilistic programming with Python and PyTorch