Prasanna1991

DHCD_Dataset

Dataset of Devnagari (Nepali) handwritten characters.

LatentMixing

The implementation of "Semi-supervised Medical Image Classification with Global Latent Mixing". [MICCAI2020]

MMD_VAE

This repo contains the code for our AAAI-Workshop paper "Learning disentangled representations from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia"

Mixup-LR

DisPred

Code for running DisPred algorithm

SimECG

StochasticEnsembleSSL

Semi-Supervised Learning by Disentangling and Self-Ensembling over Stochastic Latent Space. MICCAI 2019.

X-ray

Works on Chest X-ray dataset.

IBP-VAE

Improving Disentangled Representatoin Learning with the Beta Bernoulli Process. ICDM 2019.

annotated_deep_learning_paper_implementations

🧑‍🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, etc. 🧠

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

awesome-pytorch

Awesome PyTorch

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5

GPPVAE

Gaussian Process Prior Variational Autoencoder

IODINE-1

Implementation of IODINE model

lassonet

Feature selection in neural networks

lipEstimation

manifold_mixup

Code for reproducing Manifold Mixup results (ICML 2019)

Prasanna1991.github.io

Personal website of Prashnna K Gyawali

pytlib

A pytorch framework for building neurals networks for visual recognition, encoding, and detection tasks. The goal is to bridge the gap between research and production code, making AI/CV research code re-usable and reproducible

pytorch-fid

A Port of Fréchet Inception Distance (FID score) to PyTorch

semisup_scarse

PyTorch implementation of Semi-Supervised Learning with Scarce Annotations https://arxiv.org/pdf/1905.08845.pdf

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Stabilized-HiDe-MK

Stabilized Hierarchical DNN with multiple knockoffs

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

TwoStageVAE

vgan

Code for image generation of Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow

vision

Datasets, Transforms and Models specific to Computer Vision

WaveletSRNet

A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"

wide-resnet.pytorch

Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch