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academic-kickstart

algorithm-design-manual

Data structures, algorithms, and practice problems from Steven S. Skiena's "The Algorithm Design Manual" (Second Edition).

algorithms

Practicing data structures and algorithms in Python

android-market-api

An open-source API for the Android Market (git mirror)

autoencoder-based-communication-system

Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/

backpropagation-using-numpy

bash-utils

Miscellaneous small utils, mainly for the bash shell.

bayesianrecurrentnn

Implementation of Bayesian Recurrent Neural Networks by Fortunato et. al

cole-trapnell-lab.github.io

concrete_nlp_tutorial

An NLP workshop about concrete solutions to real problems

coursera-cs-algorithms

Here I'm going to collect algorithms and data structures described in Algorithms Part1 course for coursera.com(https://class.coursera.org/algs4partI-003/class/index) implemented in C++(Kevin Wayne, Robert Sedgewick uses Java in the course). Please do not use code from this repository as cheat in excersises from course. Main purpose of the code in the repository is to help to review the course.

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

criticalml

Toward ethical, transparent and fair AI/ML: a critical reading list for engineers, designers, and policy makers

crnn.pytorch

Convolutional recurrent network in pytorch

cs131_notes

Class notes for CS 131.

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

datasciencecoursera

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

datasharing

The Leek group guide to data sharing

deep-learning-for-the-physical-layer

PyTorch implementation for part of paper "An Introduction to Deep Learning for the Physical Layer" by Kenta Iwasaki on behalf of Gram.AI.

deep-learning-primer

Toy projects of main deep learning topics

deep-learning-project-template

A best practice for deep learning project template architecture.

deeplearningfornlpinpytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

deeplearningframeworks

Demo of running NNs across different frameworks

deepr

An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.

developingdata_presentation

Making presentation using Shiny

developingdataproducts

Developing Data products project for Coursera Data Science specialization

dlwithpytorch

Code to accompany my upcoming book "Deep learning with PyTorch Book " from Packt

dsp_emgdl_chapter

Deep Learning approaches for sEMG-based gesture recognition