ruizhaoz

MOML

GANs-FTRL

EC500 Online learning project

PFL

ruizhaoz.github.io

A personal blog

3detr

Code & Models for 3DETR - an End-to-end transformer model for 3D object detection

anyd

Learning to Drive Anywhere - CoRL 2023

ASR

BSNet

Code release for the paper BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. (TIP2020)

cityscapesScripts

README and scripts for the Cityscapes Dataset

EC414

WorldOnRails

(ICCV 2021) RL and distillation in CARLA using a factorized world model

comet

[ICLR 2021] Concept Learners for Few-Shot Learning

CrossDomainFewShot

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)

CVPR2022-Task-Discrepancy-Maximization-for-Fine-grained-Few-Shot-Classification

Official PyTorch Repository of "Task Discrepancy Maximization for Fine-grained Few-Shot Classification" (TDM, CVPR 2022 Oral Paper)

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

EfficientPS

PyTorch code for training EfficientPS for Panoptic Segmentation https://rl.uni-freiburg.de/research/panoptic

FeatureClustering

higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

loss-landscape-anim

Create animations for the optimization trajectory of neural nets

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

meshrcnn

code for Mesh R-CNN, ICCV 2019

MetaOptNet

Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

open-guide-idc.github.io

PanopticFCN

Fully Convolutional Networks for Panoptic Segmentation (CVPR2021 Oral)

sf_volume

SyntheticData

Is synthetic data from generative models ready for image recognition?

testpage

Simple template for a project webpage

vfd-iccv21

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

waymo_to_argoverse

Waymo Open Dataset -> Argoverse Converter