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hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

ict2019-damaging-traffic-signs-detection

image-similarity-using-deep-ranking

🖼️ PyTorch implementation of "Learning Fine-grained Image Similarity with Deep Ranking" (arXiv:1404.4661)

kornia

Open Source Differentiable Computer Vision Library for PyTorch

latex-beamerposter

The LaTeX beamerposter package

learning-to-reproduce-stochastic-time-series-using-stochastic-lstm

Tensorflow code for our paper Learning to reproduce stochastic time series using stochastic LSTM

mini-imagenet-tools

Tools for generating mini-ImageNet dataset and processing batches

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

multilabelclassifier

Multi-label Classification using PyTorch on the CelebA dataset.

nodes-info

Resources on how to use the GPU clusters

opencv_transforms

OpenCV implementation of Torchvision's image augmentations

poincare-embeddings

Poincaré Embeddings for Learning Hierarchical Representations

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

protopnet

This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-adversarial_box

PyTorch library for adversarial attack and training

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-custom-dataset-examples

Some custom dataset examples for PyTorch

pytorch-gve-lrcn

PyTorch implementations for "Generating Visual Explanations" (GVE) and "Long-term Recurrent Convolutional Networks" (LRCN)

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-mask-rcnn

pytorch-multilabel-balanced-sampler

PyTorch sampler that outputs roughly balanced batches with support for multilabel datasets

pytorch-nips2017-attack-example

A PyTorch baseline attack example for the NIPS 2017 adversarial competition

pytorch-pretrained-vit

Vision Transformer (ViT) in PyTorch

robgan

Rob-GAN: Generator, Discriminator and Adversarial Attacker

robust-adv-malware-detection

Code repository for the paper "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware"

robust-physical-attack

Physical adversarial attack for fooling the Faster R-CNN object detector

robust_overfitting

robustness

Corruption and Perturbation Robustness (ICLR 2019)

semantic_adversarial_attacks

Code for Semantic Adversarial Attacks