Pinned Repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
active-surrogate-estimators
active_testing
AXMG
Approximate computing based on XMG
Baseline_Project_M3DDPG
coperception_mod
SDK for multi-agent collaborative perception.
mot_cup
orkspace
My project of active testing on DINO at Bosch
RMARL_code
Code of the paper "Robust Multi-Agent Reinforcement Learning Under Adversarial State Perturbations"
SQDDPG_baseline
This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.
susanbao's Repositories
susanbao/mot_cup
susanbao/RMARL_code
Code of the paper "Robust Multi-Agent Reinforcement Learning Under Adversarial State Perturbations"
susanbao/coperception_mod
SDK for multi-agent collaborative perception.
susanbao/orkspace
My project of active testing on DINO at Bosch
susanbao/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
susanbao/active_testing
susanbao/DE-DETRs
Official Implementation of DE-DETR and DELA-DETR in "Towards Data-Efficient Detection Transformers"
susanbao/evaluate
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
susanbao/GroundingDINO
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
susanbao/hw
susanbao/Lane-Change-CBF
Rule-Based Safety-Critical Control Design with Application to Autonomous Lane Change https://arxiv.org/abs/2103.12382
susanbao/Learning-Loss-for-Active-Learning
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
susanbao/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
susanbao/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
susanbao/mmdetection_at
OpenMMLab Detection Toolbox and Benchmark
susanbao/mmengine_at
OpenMMLab Foundational Library for Training Deep Learning Models
susanbao/mmtracking
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
susanbao/open_x_embodiment
susanbao/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
susanbao/Python
All Algorithms implemented in Python
susanbao/pytorch-segmentation
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
susanbao/RegionCLIP
[CVPR 2022] Official code for "RegionCLIP: Region-based Language-Image Pretraining"
susanbao/SCCAN
Self-Calibrated Cross Attention Network for Few-Shot Segmentation (ICCV'23)
susanbao/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
susanbao/semantic-kitti-api_my
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
susanbao/SSCBench
SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving
susanbao/ViT-Adapter
[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
susanbao/ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
susanbao/VoxFormer
Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]
susanbao/website