ritheshkumar95

pytorch-vqvae

Vector Quantized VAEs - PyTorch Implementation

im2latex-tensorflow

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

energy_based_generative_models

PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models

pytorch_handwriting_synthesis

Handwriting Synthesis and Prediction - PyTorch Implementation

WaveNet

WaveNet for unconditional speech generation - Theano Implementation

pytorch-normalizing-flows

minimal_diffusion_models

generative-models

pytorch-nmt

Minimalist Attention-based RNN for NMT (tested on Multi30k)

treelstm-pytorch

TreeLSTM implementation in pytorch for sentiment analysis

CartPoleBalance

distribution_bias_pgm

imitation_learning

transliteration

wavenet-1

Keras WaveNet implementation

pytorch-ddpg

Deep Deterministic Policy Gradient - PyTorch tested on BipedalWalker

Capstone-Project

Coursera

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

deepdream

Developing-Data-Products-Course-Project

nugan-icassp

PMLPeerAssessment

RepData_PeerAssessment1

Peer Assessment 1 for Reproducible Research

ritheshkumar95.github.io

Sentiment-Analysis-using-Deep-Learning

speech

tensorflow

Open source software library for numerical computation using data flow graphs.

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

Theano-Tutorials

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

TTS

Repo for TTS experiments with aligned phoneme models