Haiwen Huang's repositories
normalizing-flows-reproduce
Reproduction and extension of "Variational inference with normalizing flows"
ImageProcessing
Code for the corresponding course at PKU.
FSSD_OoD_Detection
Feature Space Singularity for Out-of-Distribution Detection.
ow-detectron2
Detectron2 with open world evaluation metrics (openAP, openmIoU, openPQ). Use together with ow-panopticapi: https://github.com/andrehuang/ow-panopticapi. Reletad project: https://github.com/andrehuang/ow-cityscapesscrtips
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
andrehuang.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
anonymous_github
Anonymous Github is a proxy server to support anonymous browsing of Github repositories for open-science code and data.
Attend-and-Excite
Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
e2cnn
E(2)-Equivariant CNNs Library for Pytorch
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Generic-Grouping
Open-source code for Generic Grouping Network (GGN, CVPR 2022)
ICLR2022-OpenReviewData
Crawl & visualize ICLR papers and reviews
invertible-resnet
Official Code for Invertible Residual Networks
ow-panopticapi
PanopticAPI with open world evaluation metrics
OWOD
(CVPR 2021 Oral) Open World Object Detection
oxford-poster
LaTeX beamer poster template themed for the University of Oxford
pytorch-grad-cam
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
Swin-Transformer-Object-Detection
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.