AdityoSanjaya

action-recognition-visual-attention

Action recognition using soft attention based deep recurrent neural networks

AlphaGo

A replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search," details of which can be found on their website.

Analytics_Vidhya

Codes related to activities on AV including articles, hackathons and discussions.

awesome-deep-vision

A curated list of deep learning resources for computer vision

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

blocks

A Theano framework for building and training neural networks

brainstorm

Fast, flexible and fun neural networks.

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

Data-Science-45min-Intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

iTorch

IPython kernel for Torch with visualization and plotting

kaggle-airbnb-recruiting-new-user-bookings

2nd Place Solution in Kaggle Airbnb New User Bookings competition

Lasagne

Lightweight library to build and train neural networks in Theano

LSUVinit

Machine-Learning-Tutorials

machine learning and deep learning tutorials, articles and other resources

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more

neon

Fast, scalable, easy-to-use Python based Deep Learning Framework by Nervana™

numer.ai

Validation and prediction code for numer.ai

pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

rc-data

Question answering dataset featured in "Teaching Machines to Read and Comprehend

ResearchAmalina

Punya pacar

Spearmint

Spearmint Bayesian optimization codebase

spearmint-1

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

Stochastic_Depth

Code for "Deep Networks with Stochastic Depth"

tensorflow-resnet

Pre-trained ResNet Models in TensorFlow

torch-residual-networks

This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

tpot

A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.

UETorch

A Torch plugin for Unreal Engine 4.

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow