arnab39

Cloth_Classification_DeepLearning

Cloth Classification (Feed forward neural net vs sequence model)

cycleGAN-PyTorch

A clean and lucid implementation of cycleGAN using PyTorch

equiadapt

Library to make any existing neural network architecture equivariant

FewShot_GAN-Unet3D

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

Machine-Learning-Codes

Python implementation of basic machine learning algorithms

POS-Tagging_HMM_vs_CRF

My implemention of Hidden Markov Model(HMM) and Conditional Random Field(CRF) for Part of Speech tagging in python 3.6

Semi-supervised-segmentation-cycleGAN

Pytorch implementation of our paper: Revisting Cycle-GAN for semi-supervised segmentation

Sentiment-Analysis-of-Citations

Classification of sentiment of the citations in different contexts in a research paper

Symmetry-RL

comp551-notebooks

Code provided for the Applied Machine Learning course (COMP 551)

arnab39/FewShot_GAN-Unet3D

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

arnab39/cycleGAN-PyTorch

A clean and lucid implementation of cycleGAN using PyTorch

arnab39/Semi-supervised-segmentation-cycleGAN

Pytorch implementation of our paper: Revisting Cycle-GAN for semi-supervised segmentation

arnab39/equiadapt

Library to make any existing neural network architecture equivariant

arnab39/POS-Tagging_HMM_vs_CRF

My implemention of Hidden Markov Model(HMM) and Conditional Random Field(CRF) for Part of Speech tagging in python 3.6

arnab39/Machine-Learning-Codes

Python implementation of basic machine learning algorithms

arnab39/Cloth_Classification_DeepLearning

Cloth Classification (Feed forward neural net vs sequence model)

arnab39/Sentiment-Analysis-of-Citations

Classification of sentiment of the citations in different contexts in a research paper

arnab39/Symmetry-RL

arnab39/EquivariantDQN

Pytorch implementation of our paper: Group Equivariant Deep Reinforcement Learning

arnab39/Tic-Tac-Toe_MinmaxTree

My implementation of Minmax Tree using recursion

arnab39/arnab39.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

arnab39/Dependency-Parsing

Implementation of dependency parsing using SVM, Logistic Regression and Multilayer Perceptron

arnab39/FMGANvsTripleGAN

arnab39/pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

arnab39/arxiv-style

A Latex style and template for paper preprints (based on NIPS style)

arnab39/Basic_Image_Processing

arnab39/cleverhans

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

arnab39/COMP767-ReinforcementLearning

Reinforcement Learning (COMP767) Winter 2020 course assignments

arnab39/e2cnn

E(2)-Equivariant CNNs Library for Pytorch

arnab39/fdm-book

Resources for "The Craft of Finite Difference Computing with Partial Differential Equations" by H. P. Langtangen

arnab39/Fixed-Point-Analysis-RNN

arnab39/flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

arnab39/jepa

PyTorch code and models for V-JEPA self-supervised learning from video.

arnab39/LiviaNET

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

arnab39/MinibatchSimilarityGraph

arnab39/pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

arnab39/segar

Sandbox environment for generalizable agent research

arnab39/tensorflow

Computation using data flow graphs for scalable machine learning

arnab39/Wasserstein-distance-generative-learning