rahasayantan Goto Github PK

2014imageclassificationtraining

binary classification of images

african-soil-prediction

Predict physical and chemical properties of soil using spectral measurements

allstate

Kaggle's Allstate Purchase Prediction Challenge

amazon-employee-access

Algorithm capable of learning from this historical data to predict approval/denial for an unseen set of employees.

amazon_employee_access_2013

solution of our team Dmitry&Leustagos for Amazon competition (3rd place)

amazonaccess

Amazon Employee Access Challenge

ams-2013-2014-solar-energy

ams-2013-2014-solar-energy-prediction-contest

anatomyofmatplotlib

Anatomy of Matplotlib Tutorial originally developed for SciPy 2013

automatickeyphraseextraction

Data for Automatic Keyphrase Extraction Task

autopilot

A self driving car model for humans.

autopilot-tensorflow

A TensorFlow implementation of this Nvidia paper: https://arxiv.org/pdf/1604.07316.pdf with some changes

avito-duplicates-kaggle

Solution for Avito Duplicate Ads Detection competition

avito_context_click_2015

3rd place solution for the Avito Context contest on kaggle.com

awesome-awesomeness

A curated list of awesome awesomeness

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-r

A curated list of awesome R frameworks, packages and software.

bayesian-data-analysis-with-pymc2

Bayesian data analysis with PyMC(2)

blue-book-bulldozers-2nd

Kaggle Blue Book for Bulldozers Competition

book-islr-python

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

book-mastering-tensorflow-1x

Mastering TensorFlow 1x, published by Packt

book-mathsdl-spring18

Topics course Mathematics of Deep Learning, NYU, Spring 18

book-mit-deep-learning

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

book-probabilistic-graphical-models

book-probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

book-python-elements-of-programing

Python solutions of Elements of Programming Interviews

book-reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

cascaded-fcn

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"