shashankskagnihotri Goto Github PK

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

airsim_deeprl

al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

augmix-refactored

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

backboned-unet

Build U-Nets for segmentation from pre-trained TorchVision models.

bi3d

cifar-efficientnet

cospgd

The official repository for CosPGD: a unified white-box adversarial attack for pixel-wise prediction tasks.

database-to-excel

ddpm-segmentation

Label-Efficient Semantic Segmentation with Diffusion Models (ICLR'2022)

deeplabv3plus-pytorch

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

dl-lab

Code submissions for the Deep Learning Lab Winter Semester 2018-19

droid-slam

flc_pooling

Code for FrequencyLowCut Pooling (FLC pooling)

flowattack

Attacking Optical Flow (ICCV 2019)

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

github-readme-stats

:zap: Dynamically generated stats for your github readmes

gsparsity

just-java-coffee

Udacity Just Java Coffee ordering App

lottery-ticket-hypothesis-in-pytorch

This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks" by Jonathan Frankle and Michael Carbin that can be easily adapted to any model/dataset.

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

nafnet

The state-of-the-art image restoration model without nonlinear activation functions.

pcfa

[ECCV 2022 Oral] Source code for "A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow"

plots

making plots for CIFAR and ImageNet

psmnet

Pyramid Stereo Matching Network (CVPR2018)

ptlflow

PyTorch Lightning Optical Flow models, scripts, and pretrained weights.

pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch.

repdistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

replknet-pytorch

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

restormer

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.