wenjunlong's Stars
Azure/MS-AMP
Microsoft Automatic Mixed Precision Library
NVlabs/SPADE
Semantic Image Synthesis with SPADE
xinntao/Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
junyanz/CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Tandon-A/CycleGAN_ssim
Comparing different similarity functions for reconstruction of image on CycleGAN. (https://tandon-a.github.io/CycleGAN_ssim/) Training cycleGAN with different loss functions to improve visual quality of produced images
gjy3035/GCC-SFCN
This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019].
gjy3035/GCC-CL
GCC dataset Collector and Labeler (GCC CL) [CVPR2019]
taohan10200/STEERER
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning, ICCV, 2023
taohan10200/DRNet
PyTorch implementations of the paper: "DR.VIC: Decomposition and Reasoning for Video Individual Counting, CVPR, 2022"
cxliu0/PET
[ICCV 2023] Point-Query Quadtree for Crowd Counting, Localization, and More
cha15yq/MRC-Crowd
Implementation of "Semi-Supervised Crowd Counting with Contextual Modeling: Facilitating Holistic Understanding of Crowd Scenes"
songrise/CLIP-Count
[ACM MM23] CLIP-Count: Towards Text-Guided Zero-Shot Object Counting
WangyiNTU/SCALNet
A simple yet effective crowd counting and localization network (SCALNet)
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
pbloem/former
Simple transformer implementation from scratch in pytorch.
jensjepsen/imdb-transformer
A simple Neural Network for sentiment analysis, embedding sentences using a Transformer network.
as791/ZOO_Attack_PyTorch
This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/abs/1708.03999)
IBM/ZOO-Attack
Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models,” ACM CCS Workshop on AI-Security, 2017
IDEA-Research/GroundingDINO
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
dennyzhang/cheatsheet-jenkins-groovy-A4
:book: Groovy CheatSheet For Jenkins Usage In A4
jenkinsci/jenkins-scripts
Scripts in Groovy, shell, Ruby, Python, whatever for managing/interacting with Jenkins