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amazon-dsstne

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

analyticsvidhya_blackfriday

Black Friday Hackathon

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

cookbook-code

Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python

courseraml

cyclegan

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

datasciencer

a curated list of R tutorials for Data Science, NLP and Machine Learning

datasets

Datasets used in Plotly examples and documentation

deep-learning-with-python-notebooks

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

deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

discover-flask

Full Stack Web Development with Flask.

dl-setup

Instructions for setting up the software on your deep learning machine

facebook-v

Cleaned code of the winning submission of the Kaggle Recruiting Competition

hackerrank-python-3

Solving HackerRank problems in Python 3

hackerrank-sql-challenges-solutions

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

kaggle

Codes for Kaggle Competitions

keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

lectures

Oxford Deep NLP 2017 course

loan_default_prediction

This is the Python Code for the submission to Kaggle's Loan Default Prediction by the ID "HelloWorld"

machine-learning-coursera-1

This repo is created for all my work done as a part of Coursera's Machine Learning Course.

metrics

Machine learning evaluation metrics, implemented in Python, R, Haskell, and MATLAB / Octave

ml

mlsp_2013

Winning Model Source Code

models

Models built with TensorFlow

nips2017

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

nlp

Generic codes related to NLP