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citation-file-format

The Citation File Format lets you provide citation metadata for software or datasets in plaintext files that are easy to read by both humans and machines.

cnn_intent_classification

CNN for intent classification task in a Chatbot

cnn_timeseries

composer

Generates video game music using neural networks.

coursera

Quiz & Assignment of Coursera

cpp-cheat-sheet

C++ Syntax, Data Structures, and Algorithms Cheat Sheet

creditsuisse-codeitchallenge

ML codes for the challenge

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

crowdsourced-hyperledger

This repository contains code for the Proffer Blockchain Hackathon 2017

crypto-booking

Simple application with to book hotel rooms using ETH or Lif token.

cs224n-gpu-that-talks

Repository for CS224n project - Attention, I'm Trying to Speak : Speech Synthesis

custom-object-detection

Custom Object Detection with TensorFlow

cweb-project

ClusterWeb: Distributed Systems Python API

dactl

Modern, fast and configurable Jekyll theme with some tricks up it's sleeve.

data-structures-and-algorithms-lab-solutions

This repository contains the solutions to the labsheets and the labtests of the course Data Strucures and Algorithms in BITS Pilani. All the codes are written in C.

datacamp-python-data-science-track

All the slides, accompanying code and exercises all stored in this repo.

dataset-nlp-lab

datasets

My datasets - Original data or Aggregated / cleaned / restructured existing datasets. Released here under Creative Commons B

decentralized_twitter

Building a decentralized twitter on Ethereum blockchain and embark, built by status to deploy and build the codes written in Solidity and ReactJS

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-a-z-udemy

Contains the programming exercises and assignments for Deep Learning A-Z course on Udemy. Includes Artificial Neural Network, Convolutional Neural Network, Recurrent Neural Networks, Self Organizing Maps, Auto Encoders and Boltzmann Machines

deep-learning-and-computer-vision

Deep Learning and Computer Vision A-Z Udemy Course

deep-learning-beginner

Wildlife images captured in a field represent a challenging task while classifying animals since they appear with a different pose, cluttered background, different light and climate conditions, different viewpoints, and occlusions. Additionally, animals of different classes look similar. All these challenges necessitate an efficient algorithm for classification. In this challenge, you will be given 19,000 images of 30 different animal species. Given the image of the animal, your task is to predict the probability for every animal class. The animal class with the highest probability means that the image belongs to that animal class.

deep-learning-for-beginners

videos, lectures, blogs for Deep Learning

deep-learning-for-computer-vision

Deep Learning for Computer Vision, by Packt

deep-learning-language-model

A Code Pattern focusing on how to train a machine learning language model while using Keras and Tensorflow

deep-learning-tip

deep-learning-with-python-notebooks-on-polyaxon

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-neural-networks

Implementation of Artificial Neural Networks, Convolution Neural Networks and Recurrent Neural Networks using Keras and Tensorflow backend.

deeplearn

Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.