Aayushktyagi

workshops

Materials for workshops on the Hugging Face ecosystem

Class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

ASL

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

HackerRank-Solutions

Solutions to HackerRank problems

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

PyTorch-Pretrained-ViT

Vision Transformer (ViT) in PyTorch

intro-interpretableAI

Repository of the main source code for the assignments of the "Introduction to interpretable AI" course

GWSDR

WBC-Classification-UDA

White Blood Cells Classification using Unsupervised Domain Adaptation

GANTheftAuto

aiDuet-with-Music-Transformer

A.I Duet Experiment with Music Transformer

synapses

scDeepSort

Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network

deeplearning.ai-notes

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Grokking-Deep-Learning

this repository accompanies the book "Grokking Deep Learning"

Voice_mimicry_system

Convert source speaker voice to target speaker

GLSS

Code for the paper 'Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search'. Accepted in ECCV2020 (Spotlight). Preprint: https://arxiv.org/abs/2006.08696

DeepLearning_Resources

Deep Learning Resources

Satellite_image_classification

Image classifcation on Satellite image

Stanford-Dogs-Classification

This Repo includes code (written in python ) for Stanford dogs data set classification . I have used PyTorch library for this purpose.

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

SAML

[MICCAI'20] Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains & A Well-organized Multi-site Dataset

PyContrast

PyTorch implementation of Contrastive Learning methods

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

CheXNet

A pytorch reimplementation of CheXNet

AE-CNN

ICVGIP' 18 Oral Paper - Classification of thoracic diseases on ChestX-Ray14 dataset

tensorflow-eager-tutorials

Simple tutorials for building neural networks with TensorFlow Eager mode.