Ashutosh1995

Semseg-Notebooks

This repository contains IPython notebooks explanining semantic segmentation from scratch.

LRR-Semantic-Segmentation

Course project for Computer Vision to reproduce ECCV 2016 paper "Laplaican Refinement and Reconstruction Network for Semantic Segmentation""

Reading-Comprehension

Code for course project done in NLP Course under Prof Manish Srivastava, IIITH

ADVENT

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

Ashutosh1995.github.io

Awesome-NAS

A curated list of neural architecture search (NAS) resources.

awesome-panoptic-segmentation

This repo is the collection of the challenging panoptic segmentation, including papers and codes.

CenterTrack

Simultaneous object detection and tracking using center points.

Correlated-VAEs

Code for my ICML 2019 paper "Correlated Variational Auto-Encoders"

DeepImageBlending

This is a Pytorch implementation of deep image blending

DeepNLP-models-Pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

dhp

This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".

erfnet_pytorch

Pytorch code for semantic segmentation using ERFNet

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

morph-net

Fast & Simple Resource-Constrained Learning of Deep Network Structure

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-metric-learning

The easiest way to use metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch_GAN_zoo

A mix of GAN implementations including progressive growing

PyTorchProjectFramework

A basic framework for your PyTorch projects

PyTorchZeroToAll

Simple PyTorch Tutorials Zero to ALL!

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

RPISegProject

Repository containing code to do performance modelling on RPI

segmentation

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

Symmetric-Difference-of-Polygons

Repository containing code for symmetric difference of polygons

USSS_ICCV19

Weighted-Boxes-Fusion

Set of methods to ensemble boxes from object detection models, including implementation of "Weighted boxes fusion (WBF)" method.