gaurav104 Goto Github PK
Name: Gaurav Patel
Type: User
Company: Purdue University
Bio: PhD Purdue ECE
Location: West lafayette, Indiana
Name: Gaurav Patel
Type: User
Company: Purdue University
Bio: PhD Purdue ECE
Location: West lafayette, Indiana
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
:metal: awesome-semantic-segmentation
EEGNet implementation of 2 BCI competition datasets
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Fourier Domain Adaptation for Semantic Segmentation
Official implementation of paper Gradient Matching for Domain Generalization
A complete computer science study plan to become a software engineer.
Open Source Differentiable Computer Vision Library for PyTorch
Jupyter notebook of the solution to Land Classification challenge given to me as a part of SocialCops internship recruitment task.
Code for CVPR-W 2020 paper "Hierarchical Image Classification using Entailment Cone Embeddings" https://arxiv.org/abs/2004.03459
Code for the paper: Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation
Segmentation of Lungs from Chest X-Rays using Fully Connected Networks
This was my research project at IIT Bombay on Lung Segmentation from Chest X-Rays Images
A collection of machine learning examples and tutorials.
Tensorflow implementation of the paper "A Neural Algorithm of Artistic Style" by Leon A. Gatys, Alexander S. Ecker, Matthias Bethge
PyTorch implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
Official implementation of the work titled "Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay"
Papers with code. Sorted by stars. Updated weekly.
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
Image Segmentation and Object Detection in Pytorch
PyTorch for Semantic Segmentation
Semantic Segmentation Architectures Implemented in PyTorch
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
PyTorch Tutorial for Deep Learning Researchers
Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing
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.