gchrupala

gchrupala's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python82.4k1.7k45.2k22.2k

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14k344312.3k

• jiaaro/pydub

  Manipulate audio with a simple and easy high level interface

  Language:Python8.8k1335791k

• google-research/arxiv-latex-cleaner

  arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

  Language:Python5.2k3252327

• IDSIA/sacred

  Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

  Language:Python4.2k69559381

• state-spaces/s4

  Structured state space sequence models

  Language:Jupyter Notebook2.4k52134285

• lowerquality/gentle

  gentle forced aligner

  Language:Python1.4k45235296

• RElbers/info-nce-pytorch

  PyTorch implementation of the InfoNCE loss for self-supervised learning.

  Language:Python46431738

• santi-pdp/pase

  Problem Agnostic Speech Encoder

  Language:Python439234687

• jzilly/RecurrentHighwayNetworks

  Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm

  Language:Python404231270

• inseq-team/inseq

  Interpretability for sequence generation models 🐛 🔍

  Language:Python361108236

• danielnsilva/semanticscholar

  Unofficial Python client library for Semantic Scholar APIs.

  Language:Python292105038

• Smerity/keras_snli

  Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks

  Language:Python26416652

• swasun/VQ-VAE-Speech

  PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]

  Language:Python26213553

• hiwonjoon/tf-vqvae

  Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

  Language:Jupyter Notebook2588341

• antoine77340/MIL-NCE_HowTo100M

  PyTorch GPU distributed training code for MIL-NCE HowTo100M

  Language:Python21392331

• nakosung/VQ-VAE

  VQ-VAE implementation / pytorch

  Language:Python1815727

• hrbigelow/ae-wavenet

  Wavenet Autoencoder for Unsupervised speech representation learning (after Chorowski, Jan 2019)

  Language:Python17314521

• Spenhouet/tensorboard-aggregator

  Aggregate multiple tensorboard runs to new summary or csv files

  Language:Python16411127

• nlpyang/structured

  code for Learning Structured Text Representations

  Language:Python1309725

• nyu-mll/spinn

  NYU ML² work on sentence encoding with tree structure and dynamic graphs

  Language:Python108111038

• ronghanghu/text_objseg

  Code release for Hu et al. Segmentation from Natural Language Expressions. in ECCV, 2016

  Language:Jupyter Notebook865832

• janosh/tensorboard-reducer

  Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.

  Language:Python68494

• roudimit/AVLnet

  Code for the AVLnet (Interspeech 2021) and Cascaded Multilingual (Interspeech 2021) papers.

  Language:Python49116

• albrechtf/mcf2pdf

  "My CEWE Photobook" MCF to PDF converter

  Language:Java40155137

• zted/sbvqa

  Language:Python11301

• coryshain/dnnseg

  Language:Python10506

• kamperh/recipe_vision_speech_flickr

  Using computer vision to ground unlabelled speech.

  Language:Shell7401

• haskell/tokenize

  Simple tokenizer for English text

  Language:Haskell360

• Nanne/conditional-colour

  Code for paper "A learned representation of artist specific colourisation"

  Language:Python2110