Computer Vision's repositories
optimization
A collection of the Optimization Algorithms.
evaluation_wowbaggers_vision_system
Evaluation and Improvement of the Current Victim Detection System of a Rescue Robot
optical_flow
summary of current machine learning appraoches and optical flow
pcl_stereoimages
Point Cloud Reproduction from Stereoimages.
auto-attack
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
Bag-of-Tricks-for-AT
Empirical tricks for training state-of-the-art robust models on CIFAR-10 (ICLR 2021)
convert_torch_to_pytorch
Convert torch t7 model to pytorch model and source.
dcgan_evaluation
Evaluation of DCGAN
foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
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"
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
pytorch_arch_relu
Comparison of ReLU
square-attack
Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
VQ-Diffusion
Official implementation of VQ-Diffusion
awesome-mlops
A curated list of references for MLOps
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
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.
diffusion-for-beginners
denoising diffusion models, as simple as possible
flownet2-docker
Dockerfile and runscripts for FlowNet 2.0 (estimation of optical flow)
FlowNetPytorch
Pytorch implementation of FlowNet by Dosovitskiy et al.
ImageNet-Downsampled
Training code for downsampled ImageNet datasets
Imagenet32_Scripts
Scripts for Imagenet 32 dataset
OpenOOD
Benchmarking Generalized Out-of-Distribution Detection
tensorflow
Computation using data flow graphs for scalable machine learning