mouryarahul

academia-hugo

Adversarial-Example-Attack-and-Defense

This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.

ArbSR

[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution

awesome-computer-vision

A curated list of awesome computer vision resources

Computational-NeuroScience

Computational NeuroScience is a rigorous 8-week course in Coursera from University of Washington that focus on basic computational techniques for analyzing, modelling and understanding the behaviour of cells and circuits in the brain.

conv-sv

The Singular Values of Convolutional Layers

Deep-Learning-Specialization-Coursera

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

deq

[NeurIPS'19] Deep Equilibrium Models

direct

Deep learning framework for MRI reconstruction

torch-radon

Computational Tomography in PyTorch

mouryarahul/SR-MCNet

The codes to replicate the experimental result for the ICASSP2023 paper titled "MCNet:Measurement-Consistent Networks via a Deep Implicit"

mouryarahul/torch-radon

Computational Tomography in PyTorch

mouryarahul/academia-hugo

mouryarahul/Adversarial-Example-Attack-and-Defense

This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.

mouryarahul/ArbSR

[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution

mouryarahul/awesome-computer-vision

A curated list of awesome computer vision resources

mouryarahul/deq

[NeurIPS'19] Deep Equilibrium Models

mouryarahul/direct

Deep learning framework for MRI reconstruction

mouryarahul/DPIR

Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)

mouryarahul/ESPCN-PyTorch

A PyTorch implementation of ESPCN based on CVPR 2016 paper Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network.

mouryarahul/GuideNet

Implementation for our paper 'Learning Guided Convolutional Network for Depth Completion'

mouryarahul/jnumpy

Writing Python C extensions in Julia within 5 minutes.

mouryarahul/KAIR

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

mouryarahul/LargeScaleBookSlides

mouryarahul/micropython-pybd-expansion

Micropython sources for a Custom PYBD Expansion PCB to be used with a PYBD-SF6-W4F2.

mouryarahul/micropython-unm3-pybd

Example in micropython running on the PYBD with NM3 micropython driver to send sensor readings via the NM3 acoustic modem.

mouryarahul/micropython-usmart-localisation

MicroPython USMART Underwater Acoustic Localisation module for Sensor Nodes and the Gateway Node.

mouryarahul/micropython-usmart-localisation-anchor

mouryarahul/micropython-usmart-sensor-mainloop

Main Loop for USMART Sensor Application

mouryarahul/micropython-usmart-sensor-payload

MicroPython USMART Sensor Payload module

mouryarahul/mouryarahul.github.io

This repo contains resources for my personal webpage.

mouryarahul/mywebpage

mouryarahul/numpy-ml

Machine learning, in numpy

mouryarahul/nvidia-cuda-tutorial

Nvidia contributed CUDA tutorial for Numba

mouryarahul/personal-webpage

mouryarahul/pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

mouryarahul/Provable_Plug_and_Play

mouryarahul/RDN-pytorch

PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)

mouryarahul/spgl1

Port of SPGL1 to python

mouryarahul/tf-sr-attack

Official TensorFlow-based implementation of adversarial attack for super-resolution models