saisusmitha Goto Github PK
Name: Susmitha
Type: User
Company: Indian Institute of Technology Kanpur
Bio: IIT Kanpur PhD in Computer Vision
Location: Kanpur
Name: Susmitha
Type: User
Company: Indian Institute of Technology Kanpur
Bio: IIT Kanpur PhD in Computer Vision
Location: Kanpur
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Summarize the paper and code in AI(Semantic Segmentation, Medical Segmentation,REID,Super-Resolution,Registration,CVPR,ECCV,ICCV,AAAI,MICCAI)
đ§âđ« 50! Implementations/tutorials of deep learning papers with side-by-side notes đ; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), đź reinforcement learning (ppo, dqn), capsnet, distillation, ... đ§
Transformer-based autoregressive varitional autoencoder
Diffusion Models in Medical Imaging
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
COVID-19 imaging-based AI paper collection
Summary of these years cvpr
Deep Learning Papers on Medical Image Analysis
Paper LIst about Deep Learning on Medical-Image
Summaries, notes, questions on Deep Learning research papers.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Summaries and notes on Deep Learning research papers
Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
HPatches: Homography-patches dataset.
Done as part of IITK Data Mining (CS685) project.
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A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Medical Image Segmentation with Diffusion Model
Uncertainty in Medical Image Analysis
MICCAI 2020 Open Source Papers
AIOZ AI - Overcoming Data Limitation in Medical Visual Question Answering
:notebook: Notes and summaries of various ML, Computer Vision & NLP papers.
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
đ 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. đđđ
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 â€ïž Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.