shashankg7
Research intern @facebook, and PhD Student at IRLab, University of Amsterdam. Previously: research scientist intern @facebook, data scientist @Flipkart.
UvAAmsterdam
Pinned Repositories
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's Repositories
shashankg7/keras-rl
Deep Reinforcement Learning for Keras.
shashankg7/MATRI-python
Implementation of MATRI : trust-prediction in python
shashankg7/App-DL
Deep Learning and applications in Startups, CV, Text Mining, NLP
shashankg7/Autoencoder-hTrust
hTrust paramters initialized with parameters trained over autoencoder loss
shashankg7/context2vec
shashankg7/cupy
NumPy-like API accelerated with CUDA
shashankg7/deep-learning-models
Keras code and weights files for popular deep learning models.
shashankg7/Deep-Reinforcement-Learning
Notes and code for Deep Reinforcement Learning
shashankg7/Deep-Semantic-Similarity-Model
My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.
shashankg7/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
shashankg7/dl4mt-cdec
shashankg7/DL4NLP-papernotes
Summary of my understanding of various DL-NLP papers.
shashankg7/dl_tutorials
Deep learning tutorials (2nd ed.)
shashankg7/dlbook-zh-cn
Ian Goodfellow, Yoshua Bengio and Aaron Courville's deep learning book Chinese translation
shashankg7/GraphicalModelForRecommendation
Graphical Model for Recommender Systems
shashankg7/KB2E
Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
shashankg7/KEA-lucene
shashankg7/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
shashankg7/KR-EAR
Knowledge Representation Learning with Entities, Attributes and Relations
shashankg7/neural-style
Torch implementation of neural style algorithm
shashankg7/NLP_DL_Lecture_Note
shashankg7/nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
shashankg7/PairCNN-Ranking
A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks
shashankg7/pyrec
shashankg7/research
comma.ai for the people to experiment with
shashankg7/STransE
STransE: a novel embedding model of entities and relationships in knowledge bases
shashankg7/TopDeepLearning
A list of popular github projects related to deep learning
shashankg7/torchnet-nlp
Experiments with torchnet (new torch based framework for easy prototyping) for NLP
shashankg7/tree_rnn
Theano implementation of Tree RNNs aka Recursive Neural Networks.
shashankg7/wiki-reading