parthnatekar Goto Github PK
Name: Parth Natekar
Type: User
Bio: UC San Diego | IIT Madras | Deep Learning, Human-Computer-Interaction, Biomedical Design
Location: Chennai
Blog: parthnatekar.github.io
Name: Parth Natekar
Type: User
Bio: UC San Diego | IIT Madras | Deep Learning, Human-Computer-Interaction, Biomedical Design
Location: Chennai
Blog: parthnatekar.github.io
Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019
Implementations of the Coursera Graph Algorithms Course.
Wearable Sensors for AR Interaction
Explainability of Brain Tumour Segmentation Models
A deep learning approach for brain tumor MRI segmentation
Easy to use threaded socket communication in unity
Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
Identifying diabetic retinopathy using convolutional neural networks
A LaTeX class for preparing PhD, MS, M.Tech and B.Tech thesis according to the IIT Madras guidelines
Keras-tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation(Unfinished)
Simple stochastic weight averaging callback for Keras
Neural network visualization toolkit for keras
Global + Local search for kinetic parameter estimation
Lattice light-sheet post-processing utility.
An implementation of loopy belief propagation for binary image denoising. Both sequential and parallel updates are implemented.
Layer-wise Relevance Propagation (LRP) for LSTMs
A collection of infrastructure and tools for research in neural network interpretability.
Models and examples built with TensorFlow
Cancer metastasis detection with neural conditional random field (NCRF)
Delineating Causality in Neural Networks
Optic Disc and Optic Cup Segmentation using 57 layered deep convolutional neural network
An implementation of sklearn to generate decision functions for outlier detection
Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning
Image-to-Image Translation 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.