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Prashnna Gyawali's Projects

acdc_segmenter icon acdc_segmenter

Public code for our submission to the 2017 ACDC Cardiac Segmentation challenge

annotated_deep_learning_paper_implementations icon 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. 🧠

beta-tcvae icon beta-tcvae

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

cheatsheets-ai icon 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

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gan-auto-write icon gan-auto-write

Generative Adversarial Network that learns to generate handwritten digits.

gppvae icon gppvae

Gaussian Process Prior Variational Autoencoder

ibp-vae icon ibp-vae

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

ibp_vae icon ibp_vae

mean-field and structured VAEs for the IBP

latentmixing icon latentmixing

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

lpr icon lpr

License Plate Recognition (LPR) dataset for Nepali motorbike license plate.

mmd_vae icon 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"

parallel icon parallel

This repo contains some of parallel implementation in different platform with different examples.

pgmpy_notebook icon pgmpy_notebook

Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy

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