shashankg7

awesome-ML

Curated list of Machine Learning/Data Science resources

Deep-Learning-for-NLP-Resources

List of resources to get started with Deep Learning for NLP.

glove-tensorflow

Tensorflow implementation of Glove Word Embedding Model

glove-theano

GloVe Word Embedding model's implementation in theano

Keras-CNN-QA

Keras (re)implementation of paper "Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks. SIGIR, 2015"

Matrix-Factorization-GPU

Large scale matrix factorization on GPU

pynet

Web Data Extraction from Flat and Nested Records

Seq2Seq

Library to train parallel-aligned sequence data based on Keras

Visual-Question-Answering

Visual Question Answering system's different implementations

word2graph2vec

Representation learning for words and Labelled Documents by modelling them as graph (part of IRE Project at IIIT-H)

shashankg7/Matrix-Factorization-GPU

Large scale matrix factorization on GPU

shashankg7/awesome-ML

Curated list of Machine Learning/Data Science resources

shashankg7/Recursive-Neural-Networks

Library for using Recursive Neural Networks

shashankg7/AIStartups

Startups about artificial intelligence. (DM, ML, NLP, CV...)

shashankg7/Autoencoders

Experiments with Autoencoders for denoising images, semantic segmentation

shashankg7/autograd

Efficiently computes derivatives of numpy code.

shashankg7/automl_gpu

shashankg7/awesome-deep-learning-papers

shashankg7/CNN-for-Sentence-Classification-in-Keras

Convolutional Neural Networks for Sentence Classification in Keras

shashankg7/CuMF

CUDA-Acclerated ALS on mulitple GPUs

shashankg7/deco

shashankg7/deep-learning-study

Study of HeXA@UNIST in Preparation for Submission

shashankg7/deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

shashankg7/deep-rl-tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers

shashankg7/dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

shashankg7/hyperopt-sklearn

Hyper-parameter optimization for sklearn

shashankg7/implicit

Fast Python Collaborative Filtering for Implicit Datasets

shashankg7/lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

shashankg7/pymc3_vs_pystan

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg

shashankg7/python-topic-model

Implementation of various topic models

shashankg7/qmf

A fast and scalable C++ library for implicit-feedback matrix factorization models

shashankg7/search_relevance

HomeDepot Search Relevance Kaggle Competition (Top 3.5%) | NLP and Text Mining

shashankg7/Sparse-Autoencoder

Sparse Autoencoder implementation in theano

shashankg7/Theano-MPI

MPI Parallel framework for training deep learning models built in Theano

shashankg7/torchnet

Torch on steroids

shashankg7/trust-aware-reco-sys

Code for experiments in trust aware recommendation system

shashankg7/trust-inference-autoencoder

Trust Inference using Autoencoders

shashankg7/tweet2vec

Twitter hashtag prediction

shashankg7/vprof

Visual Python profiler

shashankg7/word2vec-api

Simple web service providing a word embedding model