Pinned Repositories
AdversarialTraining
This is an implementation of AdversarialTraining against popular adversaries.
Analyzing-Physical-Impacts-using-Transient-Surface-Wave-Imaging
Source code for CVPR 2023 paper: Analyzing Physical Impacts using Transient Surface Wave Imaging
BMAML
Re-implement of Bayesian Model-Agnostic Meta-Learning
clsa_pytorch
Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code
CVDL20-example-code
Some basic dl model training code for students in CVDL20
MaskGAN
work in progress
MUTR3D
Code for Paper, MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries. https://tsinghua-mars-lab.github.io/mutr3d/
PhysDreamer
Code for PhysDreamer
tylib
python small code for deep learning
YOPO-You-Only-Propagate-Once
Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle
a1600012888's Repositories
a1600012888/PhysDreamer
Code for PhysDreamer
a1600012888/MUTR3D
Code for Paper, MUTR3D: A Multi-camera Tracking Framework via 3D-to-2D Queries. https://tsinghua-mars-lab.github.io/mutr3d/
a1600012888/YOPO-You-Only-Propagate-Once
Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle
a1600012888/clsa_pytorch
Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code
a1600012888/BMAML
Re-implement of Bayesian Model-Agnostic Meta-Learning
a1600012888/tylib
python small code for deep learning
a1600012888/CVDL20-example-code
Some basic dl model training code for students in CVDL20
a1600012888/AdversarialTraining
This is an implementation of AdversarialTraining against popular adversaries.
a1600012888/Analyzing-Physical-Impacts-using-Transient-Surface-Wave-Imaging
Source code for CVPR 2023 paper: Analyzing Physical Impacts using Transient Surface Wave Imaging
a1600012888/mmdet3d-plugin
a1600012888/my_snip
Code snippets I frequently use for Deeplearning projects
a1600012888/setup
a1600012888/a1600012888.github.io
Personal website
a1600012888/arXiv2020-RIFE
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation
a1600012888/base_model
Base models written mainly in pytorch
a1600012888/CifarExps
Adversarial training experiments in CIFAR
a1600012888/cvpods
All-in-one Toolbox for Computer Vision Research.
a1600012888/DDN-maskrcnn_benchmark
a1600012888/detr3d
a1600012888/fairseq
Modified upon fairseq
a1600012888/GradTV
...
a1600012888/jekyll-embed-video
Embed videos in Jekyll webpages without a plugin (Youtube, Vimeo, Twitch, Streamable, Mixer, Google Drive clips + more)
a1600012888/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
a1600012888/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
a1600012888/rife_page
a1600012888/run_time
Test the running time of dynamic nets
a1600012888/saliency
TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques
a1600012888/speed_test
Test the speed using ImageNet-1K ResNet-50
a1600012888/stablediffusion
High-Resolution Image Synthesis with Latent Diffusion Models
a1600012888/Statistical-Learning-HW
Codes for course: Statistical Learning