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auto-attack

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

awesome-mlops

A curated list of references for MLOps

bag-of-tricks-for-at

Empirical tricks for training state-of-the-art robust models on CIFAR-10 (ICLR 2021)

caffe

Caffe: a fast open framework for deep learning.

camera_calibration

celebfaces_attributes_classification

This repository is related to a project of the Introduction to Numerical Imaging (i.e, Introduction à l'Imagerie Numérique in French), given by the MVA Masters program at ENS-Paris Saclay. It was entirely build from scratch and contains code in PyTorch Lightning to train and then use a neural network for image classification. We used it to create

cifar10-airbench

94% on CIFAR-10 in 3.29 seconds 💨 https://arxiv.org/abs/2404.00498

cnn-crf-stereo

convert_torch_to_pytorch

Convert torch t7 model to pytorch model and source.

convex_optimization

cvkit

Computer Vision Toolkit. cvkit is available for Linux as well as for Windows. It offers useful tools for viewing and analyzing images and 3d models.

dcgan

Deep Convolutional Generative Adversarial Networks project on MNIST and Labeled Faces in the Wild (LFW) datasets

dcgan_code

Deep Convolutional Generative Adversarial Networks

dcgan_evaluation

Evaluation of DCGAN

diffusion-for-beginners

denoising diffusion models, as simple as possible

evaluation_wowbaggers_vision_system

Evaluation and Improvement of the Current Victim Detection System of a Rescue Robot

flownet2-docker

Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)

flownetpytorch

Pytorch implementation of FlowNet by Dosovitskiy et al.

flownettorch

Torch implementation of Fischer et al. FlowNet training code

foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

graphcutmex_boykovkolmogorov

MATLAB wrapper to the max-flow/min-cut algorithm by Boykov and Kolmogorov

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

imagenet-downsampled

Training code for downsampled ImageNet datasets

imagenet32_scripts

Scripts for Imagenet 32 dataset

ippr

image processing and pattern recognition

mrflow

Code for the paper "Optical Flow in Mostly Rigid Scenes" by Jonas Wulff, Laura Sevilla-Lara, Michael Black, CVPR 2017

nnguide

Code for ICCV 2023 paper "Nearest Neighbor Guidance for Out-of-Distribution Detection"

openood

Benchmarking Generalized Out-of-Distribution Detection

optical_flow

summary of current machine learning appraoches and optical flow

optimization

A collection of the Optimization Algorithms.