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advertorch

A Toolbox for Adversarial Robustness Research

apesnet

A Convolutional Neural Network for semantic segmentation of traffic.

coala

coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.

coala-bears

Bears for coala

defense

Meant to be research on adversarial defense but turned out to be implementation of Targeted Dropout in PyTorch

fastai

The fast.ai deep learning library, lessons, and tutorials

geeks

guides

A collection of easy-to-understand guides to programming tools

inkmakers

A very simple CNN for classification of traffic signs (GTSRB dataset). Used for the prototype of a smart helmet

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

kaggle-web-traffic

1st place solution

opencv_contrib

Repository for OpenCV's extra modules

optimus

A deep learning library written in C++ from scratch

optimus-1

A deep learning library written in C++ for the sake of understanding implementation specific concerns

pyevm

Python implementation of EVM(Eulerian Video Magnification)

reinforce

PPO agent in TF

root

Fork of ROOT Repository for GSoC'17 project in Deep Neural Networks

srgan-tensorflow

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

srk97.github.io

srk97.github.io-archived

Build a Jekyll blog in minutes, without touching the command line.

targeted-adversarial-mnist

Adversarial attack on a CNN trained on MNIST dataset using Targeted I-FGSM and Targeted MI-FGM

tensorflow

Computation using data flow graphs for scalable machine learning

thoughthouse

Diary web app

tiny-dnn

header only, dependency-free deep learning framework in C++14

tpu

Reference models and tools for Cloud TPUs.

web-traffic-forecasting

Kaggle | Web Traffic Forecasting 📈