vamshichowdary

adv-robust

Code to generate dataset with adversarially robust features (https://arxiv.org/abs/1905.02175)

adversarial-training-pytorch

Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-28-10 on cifar-10. Sample code is re-usable despite changing the model or dataset.

challenges

Programming challenges and competitions such as topcoder, codeforces, hackerrank

cod-cnn

Curse of Dimensionality (CoD) and Convolutional Neural Networks (CNN)

commaai-speed-challenge-raft

CRYENGINE

CRYENGINE is a powerful real-time game development platform created by Crytek.

dfc2019

2019 IEEE GRSS Data Fusion Contest data, baselines, and metrics

essentia

C++ library for audio and music analysis, description and synthesis, including Python bindings

gaia

C++ library to apply similarity measures and classifications on the results of audio analysis, including Python bindings. Together with Essentia it can be used to compute high-level descriptions of music.

pytorch-trainer

A trainer base class for DNN training in pytorch.

vamshichowdary/adv-robust

Code to generate dataset with adversarially robust features (https://arxiv.org/abs/1905.02175)

vamshichowdary/adversarial-training-pytorch

Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-28-10 on cifar-10. Sample code is re-usable despite changing the model or dataset.

vamshichowdary/challenges

Programming challenges and competitions such as topcoder, codeforces, hackerrank

vamshichowdary/cod-cnn

Curse of Dimensionality (CoD) and Convolutional Neural Networks (CNN)

vamshichowdary/commaai-speed-challenge-raft

vamshichowdary/CRYENGINE

CRYENGINE is a powerful real-time game development platform created by Crytek.

vamshichowdary/dfc2019

2019 IEEE GRSS Data Fusion Contest data, baselines, and metrics

vamshichowdary/essentia

C++ library for audio and music analysis, description and synthesis, including Python bindings

vamshichowdary/gaia

C++ library to apply similarity measures and classifications on the results of audio analysis, including Python bindings. Together with Essentia it can be used to compute high-level descriptions of music.

vamshichowdary/pytorch-trainer

A trainer base class for DNN training in pytorch.

vamshichowdary/self-driving-car

PyTorch version of ndrplz's self-driving-car project.

vamshichowdary/involution-tf

TensorFlow implementation of involution.

vamshichowdary/opical-flow-estimation-with-RAFT

Optical Flow Estimation using RAFT with PyTorch.

vamshichowdary/os_quantum_software

Curated list of open-source quantum software projects.

vamshichowdary/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

vamshichowdary/Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

vamshichowdary/quantum-learning

This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".

vamshichowdary/self-driving-car-1

Udacity Self-Driving Car Engineer Nanodegree projects.

vamshichowdary/vamshichowdary.github.io

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