ritheshkumar95

Research Scientist @ Adobe Research. Ex Descript Inc., Mila lab

@adobe-research @mila-iqiaToronto

Pinned Repositories

descript-audio-codec
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
Language:Python1.2k 26 76111
melgan-neurips
GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis
Language:Python976 61 44214
energy_based_generative_models
PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
Language:Python147 7 824
generative-models
Language:Python7 2 00
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)
Language:HTML289 10 2977
minimal_diffusion_models
Language:Python16 3 04
pytorch-normalizing-flows
Language:Python17 0 00
pytorch-vqvae
Vector Quantized VAEs - PyTorch Implementation
Language:Python844 6 14138
pytorch_handwriting_synthesis
Handwriting Synthesis and Prediction - PyTorch Implementation
Language:Python67 9 213
WaveNet
WaveNet for unconditional speech generation - Theano Implementation
Language:Python32 7 24

ritheshkumar95's Repositories

ritheshkumar95/pytorch-vqvae
Vector Quantized VAEs - PyTorch Implementation
Language:Python844 6 14138
ritheshkumar95/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)
Language:HTML289 10 2977
ritheshkumar95/energy_based_generative_models
PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models
Language:Python147 7 824
ritheshkumar95/pytorch_handwriting_synthesis
Handwriting Synthesis and Prediction - PyTorch Implementation
Language:Python67 9 213
ritheshkumar95/WaveNet
WaveNet for unconditional speech generation - Theano Implementation
Language:Python32 7 24
ritheshkumar95/pytorch-normalizing-flows
Language:Python17 0 00
ritheshkumar95/minimal_diffusion_models
Language:Python16 3 04
ritheshkumar95/generative-models
Language:Python7 2 00
ritheshkumar95/pytorch-nmt
Minimalist Attention-based RNN for NMT (tested on Multi30k)
Language:Python5 0 03
ritheshkumar95/treelstm-pytorch
TreeLSTM implementation in pytorch for sentiment analysis
Language:Python3 2 0
ritheshkumar95/CartPoleBalance
Language:Python2 1 01
ritheshkumar95/distribution_bias_pgm
Language:Python2 0 0
ritheshkumar95/imitation_learning
Language:Python2 1 0
ritheshkumar95/transliteration
Language:Python2 0 0
ritheshkumar95/wavenet-1
Keras WaveNet implementation
Language:Python2 2 01
ritheshkumar95/pytorch-ddpg
Deep Deterministic Policy Gradient - PyTorch tested on BipedalWalker
Language:Python1 1 01
ritheshkumar95/Capstone-Project
Coursera
Language:HTML2 01
ritheshkumar95/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Language:JavaScript2 0
ritheshkumar95/deepdream
Language:Jupyter Notebook1 0
ritheshkumar95/Developing-Data-Products-Course-Project
Language:R1 0
ritheshkumar95/nugan-icassp
Language:HTML1 11
ritheshkumar95/PMLPeerAssessment
1 0
ritheshkumar95/RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
1 0
ritheshkumar95/ritheshkumar95.github.io
Language:HTML0 0
ritheshkumar95/Sentiment-Analysis-using-Deep-Learning
1 0
ritheshkumar95/speech
Language:Python1 0
ritheshkumar95/tensorflow
Open source software library for numerical computation using data flow graphs.
Language:C++1 0
ritheshkumar95/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.
Language:Python1 0
ritheshkumar95/Theano-Tutorials
Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
Language:Python1 0
ritheshkumar95/TTS
Repo for TTS experiments with aligned phoneme models
Language:Python1 0