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Name: Ashutosh Mishra
Type: User
Bio: MS Research Scholar CVIT, IIIT Hyderabad
Location: Hyderabad, India
Name: Ashutosh Mishra
Type: User
Bio: MS Research Scholar CVIT, IIIT Hyderabad
Location: Hyderabad, India
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of neural architecture search (NAS) resources.
This repo is the collection of the challenging panoptic segmentation, including papers and codes.
Simultaneous object detection and tracking using center points.
Code for my ICML 2019 paper "Correlated Variational Auto-Encoders"
This is a Pytorch implementation of deep image blending
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".
Dilated Residual Network for Sematic Segmentation
Pytorch code for semantic segmentation using ERFNet
A faster pytorch implementation of faster r-cnn
A very simple framework for state-of-the-art Natural Language Processing (NLP)
This repository contains the codes for SMAI course project for the year 2017
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Most comprehensive list :clipboard: of interview questions :blue_book: of companies scraped from Geeksforgeeks, CareerCup and Glassdoor.
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.
Course project for Computer Vision to reproduce ECCV 2016 paper "Laplaican Refinement and Reconstruction Network for Semantic Segmentation""
Fast & Simple Resource-Constrained Learning of Deep Network Structure
Multimodal Unsupervised Image-to-Image Translation
PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)
Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)
PyTorch implementations of Generative Adversarial Networks.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
The easiest way to use metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Pytorch implementation of Polygon-RNN(http://www.cs.toronto.edu/polyrnn/poly_cvpr17/)
Kaggle | 9th place single model solution for TGS Salt Identification Challenge
Semantic Segmentation Architectures Implemented in PyTorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.