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russellizadi's Projects

ast icon ast

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

basis-separation icon basis-separation

Implementation of the BASIS algorithm for source separation with deep generative priors

capsnet-1 icon capsnet-1

CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.

capsule_net_pytorch icon capsule_net_pytorch

Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]

cdur icon cdur

Repository for the paper "Towards duration robust weakly supervised sound event detection"

clustergcn icon clustergcn

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

cudf icon cudf

cuDF - GPU DataFrame Library

hifi-gan icon hifi-gan

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

hifi-gan-1 icon hifi-gan-1

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

ignite icon ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

kristeva icon kristeva

Kristeva is a constant companion throughout my journey.

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

ncsn icon ncsn

Noise Conditional Score Networks

nddiss icon nddiss

LaTeX style for Notre Dame Dissertations

openl3 icon openl3

OpenL3: Open-source deep audio and image embeddings

pyro icon pyro

Deep universal probabilistic programming with Python and PyTorch

pytorch-cifar10 icon pytorch-cifar10

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)

pytorch-vae icon pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

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