Lana Kiki's repositories
Adversarial-Attacks-and-Defenses-on-Semantic-Segmentation-Networks
The repo is a source code for the project on Adversarial examples on Semantic Segmentation Networks
adversarial-library
Library containing PyTorch implementations of various adversarial attacks and resources
adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
alma_prox_segmentation
Code for the paper "Proximal Splitting Adversarial Attacks for Semantic Segmentation"
bdd100k-models
Model Zoo of BDD100K Dataset
DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
evals
Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.
FlexGen
Running large language models like OPT-175B/GPT-3 on a single GPU. Focusing on high-throughput large-batch generation.
FrEIA
Framework for Easily Invertible Architectures
google-research
Google Research
gpustat-web
đź‘“ A web interface of gpustat: monitor GPU clusters at a look
imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
INNLab
A python/pytorch package for invertible neural networks
Knowledge-Distillation-Zoo
Pytorch implementation of various Knowledge Distillation (KD) methods.
lama
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
OpenSESAME
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
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-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
PyTorch_CIFAR10
Pretrained TorchVision models on CIFAR10 dataset (with weights)
Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.
RobustDet
The official PyTorch implementation of "Adversarially-Aware Robust Object Detector"
SPADE
Semantic Image Synthesis with SPADE
tf-faster-rcnn
Tensorflow Faster RCNN for Object Detection
the-art-of-command-line
Master the command line, in one page
yangyijune.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes