Pinned Repositories
ADVENT
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Ashutosh1995.github.io
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
LRR-Semantic-Segmentation
Course project for Computer Vision to reproduce ECCV 2016 paper "Laplaican Refinement and Reconstruction Network for Semantic Segmentation""
polyrnn-pp-pytorch
PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)
pytorch-CycleGAN-and-pix2pix
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
pytorch-semseg
Semantic Segmentation Architectures Implemented in PyTorch
Reading-Comprehension
Code for course project done in NLP Course under Prof Manish Srivastava, IIITH
Semseg-Notebooks
This repository contains IPython notebooks explanining semantic segmentation from scratch.
Ashutosh1995's Repositories
Ashutosh1995/Semseg-Notebooks
This repository contains IPython notebooks explanining semantic segmentation from scratch.
Ashutosh1995/LRR-Semantic-Segmentation
Course project for Computer Vision to reproduce ECCV 2016 paper "Laplaican Refinement and Reconstruction Network for Semantic Segmentation""
Ashutosh1995/Reading-Comprehension
Code for course project done in NLP Course under Prof Manish Srivastava, IIITH
Ashutosh1995/ADVENT
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Ashutosh1995/Ashutosh1995.github.io
Ashutosh1995/Awesome-NAS
A curated list of neural architecture search (NAS) resources.
Ashutosh1995/awesome-panoptic-segmentation
This repo is the collection of the challenging panoptic segmentation, including papers and codes.
Ashutosh1995/CenterTrack
Simultaneous object detection and tracking using center points.
Ashutosh1995/Correlated-VAEs
Code for my ICML 2019 paper "Correlated Variational Auto-Encoders"
Ashutosh1995/DeepImageBlending
This is a Pytorch implementation of deep image blending
Ashutosh1995/DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Ashutosh1995/dhp
This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".
Ashutosh1995/erfnet_pytorch
Pytorch code for semantic segmentation using ERFNet
Ashutosh1995/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
Ashutosh1995/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Ashutosh1995/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.
Ashutosh1995/LCFNets
Ashutosh1995/morph-net
Fast & Simple Resource-Constrained Learning of Deep Network Structure
Ashutosh1995/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
Ashutosh1995/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
Ashutosh1995/pytorch-metric-learning
The easiest way to use metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Ashutosh1995/pytorch_GAN_zoo
A mix of GAN implementations including progressive growing
Ashutosh1995/PyTorchProjectFramework
A basic framework for your PyTorch projects
Ashutosh1995/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
Ashutosh1995/RPISegProject
Repository containing code to do performance modelling on RPI
Ashutosh1995/segmentation
Ashutosh1995/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
Ashutosh1995/Symmetric-Difference-of-Polygons
Repository containing code for symmetric difference of polygons
Ashutosh1995/USSS_ICCV19
Ashutosh1995/Weighted-Boxes-Fusion
Set of methods to ensemble boxes from object detection models, including implementation of "Weighted boxes fusion (WBF)" method.