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breeze

Breeze is a numerical processing library for Scala.

cloudml-samples

Samples for Google Cloud Machine Learning Engine

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

individual-household-electric-power-consumption-data-set-

Individual household electric-power consumption Data Set (LSTM) [tutorial]

intro

Course materials for "Introduction to Data Science with R", a video course by RStudio and O'Reilly Media

learnopencv

Learn OpenCV : C++ and Python Examples

lstm-time-series-analysis

Using LSTM network for time series forecasting

machine-learning-exercise

Python implementation of the programming assignment from Machine Learning class on Coursera, which is originally implemented in Matlab/Octave.

matplotlib

matplotlib: plotting with Python

ml-on-gcp

Machine Learning on Google Cloud Platform

mnist-keras

Using various CNN techniques on the MNIST dataset

models

Models and examples built with TensorFlow

nilearn

Machine learning for NeuroImaging in Python

pandas_exercises

Practice your pandas skills!

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

repo1

Repo1 : This is for Acc Training 09 Mar 2018

repo2

scikit-learn

scikit-learn: machine learning in Python

scipy

Scipy library main repository

seaborn

Statistical data visualization using matplotlib

spoon-knife

This repo is for demonstration purposes only.

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-101

TensorFlow 101: Introduction to TensorFlow

tensorflow-nlp

Tensorflow implementation of natural language processing task - detecting duplicate questions from Quora

tensorflow-tutorial

Tensorflow tutorial from basic to hard

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

timeseriesanalysiswithpython

Time Series Analysis with Python

tutorials