anishmadan23

adversarial-attacks-pytorch

This repository contains implementation of 4 adversarial attacks : FGSM, Basic Iterative Method, Projected Gradient Descent(Madry's Attack), and Carlini Wagner's L2 attack. Also contained is the code to visualise it, along with a detailed report and a poster explaining the various attacks.

B-SMALL

This repo contains code for the paper: "B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning".

deep3d-pytorch

DeepLearning.ai-Summary

This repository contains my personal notes and summaries on DeepLearning.ai course. I've enjoyed every little bit of the course hope you enjoy my notes too.

detectron2-ffsod

foundational_fsod

This repository contains the implementation for the paper "Revisiting Few Shot Object Detection with Vision-Language Models"

glow_normalizing_flow

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

MAML_Pytorch_RL

semantic-segmentation-indian-driving-dataset

This repository implements Semantic Segmentation of the Indian Driving Dataset. It contains two architectures to achieve this: FCN8s and SegNet.

anishmadan23/adversarial-attacks-pytorch

This repository contains implementation of 4 adversarial attacks : FGSM, Basic Iterative Method, Projected Gradient Descent(Madry's Attack), and Carlini Wagner's L2 attack. Also contained is the code to visualise it, along with a detailed report and a poster explaining the various attacks.

anishmadan23/deep3d-pytorch

anishmadan23/foundational_fsod

This repository contains the implementation for the paper "Revisiting Few Shot Object Detection with Vision-Language Models"

anishmadan23/semantic-segmentation-indian-driving-dataset

This repository implements Semantic Segmentation of the Indian Driving Dataset. It contains two architectures to achieve this: FCN8s and SegNet.

anishmadan23/MAML_Pytorch_RL

anishmadan23/B-SMALL

This repo contains code for the paper: "B-SMALL: A Bayesian Neural Network approach to Sparse Model-Agnostic Meta-Learning".

anishmadan23/glow_normalizing_flow

anishmadan23/DeepLearning.ai-Summary

This repository contains my personal notes and summaries on DeepLearning.ai course. I've enjoyed every little bit of the course hope you enjoy my notes too.

anishmadan23/detectron2-ffsod

anishmadan23/handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

anishmadan23/abcd

anishmadan23/c3vqg-official

This repository contains code for the paper "C3VQG: Category Consistent Cyclic Visual Question Generation".

anishmadan23/anishmadan_xyz.github.io

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

anishmadan23/chain-reaction

anishmadan23/cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

anishmadan23/cmu-vision.github.io

anishmadan23/cocoapi-lt3d

anishmadan23/make-a-pr

anishmadan23/MAML-Pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

anishmadan23/MCA_Assignments

anishmadan23/mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

anishmadan23/nerfies

This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.

anishmadan23/ners

Code for "NeRS: Neural Reflectance Surfaces for Sparse-View 3D Reconstruction in the Wild," in NeurIPS 2021

anishmadan23/nuscenes-download

script for downloading nuscenes

anishmadan23/recipes

anishmadan23/tutorial