shashankskagnihotri

NASLib

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

augmix-refactored

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

adv-corrected-ddcat-cospgd

adv_mmsegmentation

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

AirSim_DeepRL

cospgd

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

NAFNet

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

plots

making plots for CIFAR and ImageNet

pruneshift-public

shashankskagnihotri/cospgd

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

shashankskagnihotri/adv_mmsegmentation

shashankskagnihotri/NAFNet

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

shashankskagnihotri/pruneshift-public

shashankskagnihotri/adv-corrected-ddcat-cospgd

shashankskagnihotri/adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

shashankskagnihotri/al-folio

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

shashankskagnihotri/augmix-refactored

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

shashankskagnihotri/plots

making plots for CIFAR and ImageNet

shashankskagnihotri/cifar-efficientnet

shashankskagnihotri/ddpm-segmentation

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

shashankskagnihotri/DeepLabV3Plus-Pytorch

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

shashankskagnihotri/DROID-SLAM

shashankskagnihotri/flc_pooling

Code for FrequencyLowCut Pooling (FLC pooling)

shashankskagnihotri/Folder-Structure-Conventions

Folder / directory structure options and naming conventions for software projects

shashankskagnihotri/github-readme-stats

:zap: Dynamically generated stats for your github readmes

shashankskagnihotri/mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

shashankskagnihotri/PCFA

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

shashankskagnihotri/ptlflow

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

shashankskagnihotri/RepLKNet-pytorch

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

shashankskagnihotri/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.

shashankskagnihotri/rickstaa

My personal readme.md

shashankskagnihotri/segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

shashankskagnihotri/semseg

Semantic Segmentation in Pytorch

shashankskagnihotri/shashankskagnihotri

shashankskagnihotri/shashankskagnihotri.github.io

Github Page for Shashank Agnihotri

shashankskagnihotri/SLaK

"More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity", Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang

shashankskagnihotri/stereo-transformer

Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)

shashankskagnihotri/understanding_flow_robustness

Official repository for "Towards Understanding Adversarial Robustness of Optical Flow Networks" (CVPR 2022)

shashankskagnihotri/zcp_eval

Code for "An Evaluation of Zero-Cost Proxies - from Neural Architecture Performance Prediction to Model Robustness"