rajendraranabhat Goto Github PK

2015

an-incomplete-ml-paper-collection-for-biomedical-applications

This is a repository that collects machine learning papers on biomedical applications.

awesome-deep-learning-resources

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully.

bigdl

BigDL: Distributed Deep learning Library for Apache Spark

create-your-own-adventure

cs231n.github.io

Public facing notes page

cs231n_2016_solutions

This repo contains solutions for cs231n 2016 session. http://cs231n.stanford.edu/ This was created for my own reference on solutions and also to help people looking for references which makes sense :)

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, Spark, Hadoop MapReduce, HDFS, matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

datasciencecoursera

datasharing

The Leek group guide to data sharing

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-notes

deep_architecture_genealogy

Deep Learning Architecture Genealogy Project

deepbayes-2018

Seminars DeepBayes Summer School 2018

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deepqa

GitXiv Competition: Replicate the findings of the Deep Q&A research paper, preferably in collaboration with others. Use library of choice. Upload your findings here

docker-curriculum

:dolphin: A comprehensive tutorial on getting started with Docker!

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

introtoble

Code samples for Getting Started with Bluetooth Low Energy (O'Reilly Media)

kalman-and-bayesian-filters-in-python

Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.

kalmancplus

libgdx

Desktop/Android/HTML5/iOS Java game development framework

mit-6.008.1x-class-notes

mobilecloud-14

Source code and assignments for the Programming Cloud Services for Android Handheld Systems Course

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

neuralnetwork_coursera

neuralnetworks

java deep learning algorithms and deep neural networks with gpu acceleration

objectrecogniser

prisma