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chaitanya-kaul.github.io

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chexnet-keras

This project is a tool to build CheXNet-like models, written in Keras.

closerlook3d

A Closer Look at Local Aggregation Operators in Point Cloud Analysis(ECCV 2020)

convpoint_keras

ConvPoint architecture implemented with Tensorflow Keras

curvenet

Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021

cvt-tf

Convolutional visions Transformer - implemented for Tensorflow

dgcnn

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

distribution_inference

Code for our paper 'Formalizing Distribution Inference Risks'

formestdistrisks

genderbias_chexnet

Gender Bias Extra Material

ml-doctor

code for ML Doctor

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

mmfall

mmFall: Fall Detection using 4D MmWave Radar and Variational Recurrent Autoencoder

nngeometry

NNGeometry is a PyTorch library for computing Fisher Information Matrices and Neural Tangent Kernels

paconv

(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

patient_monitoring

Multiple Patients Behavior Detection in Real-time using mmWave Radar and Deep CNNs

pia-on-cnn

Official implementation of Property Inference Attacks on Convolutional Neural Networks:Influence and Implications of Target Model’s Complexity.

pointmlp-pytorch

(ICLR 2022 poster) Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"

practicals-2019

Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.

pysyft

A library for answering questions using data you cannot see

pytorch-cifar

95.47% on CIFAR10 with PyTorch

pytorch-examples

Simple examples to introduce PyTorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

research-contributions

Implementations of recent research prototypes/demonstrations using MONAI.

segtran

Medical Image Segmentation using Squeeze-and-Expansion Transformers

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

thefocusnetseries

Code for FocusNet (ISBI 2019) and FocusNet++ (ISBI 2021)

ti-mmwave-cnn

CNN on micro-doppler (Windows)