yaorong0921

yaorong0921's Stars

• dylan-slack/TalkToModel

  TalkToModel gives anyone with the powers of XAI through natural language conversations 💬!

  Language:Python11323

• DFKI-NLP/InterroLang

  InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations [EMNLP 2023 Findings]

  Language:Python51

• zhao-zilong/ssc-cot

  Git for "Stepwise Self-Consistent Mathematical Reasoning with Large Language Models"

  Language:Jupyter Notebook111

• yaorong0921/DynStatF

  This repo includes code for the paper "DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection"

  Language:Python141

• tleemann/gaussian_mip

  Gaussian Membership Inference Privacy (NeurIPS 2023)

  Language:Jupyter Notebook8

• ynchuang/DiscoverPath

  DiscoverPath, a KG-based re- trieval system designed for biomedical research. This system aims to assist biomedical researchers in dynamically refining their queries and effectively retrieving articles. Accepted by CIKM'23 as Demo Paper.

  Language:Python253

• tleemann/identifiable_concepts

  Code for the Paper "When Are Post-Hoc Conceptual Explanations Identifiable?" (UAI 2023)

  Language:Python4

• VITA-Group/Large_Scale_GCN_Benchmarking

  This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Training: Benchmarking and Rethinking" in PyTorch.

  Language:Python628

• Qizhang-Feng/DEGREE

  DEGREE

  Language:Jupyter Notebook73

• divelab/DIG

  A library for graph deep learning research

  Language:Python1.9k284

• AlexDuvalinho/GraphSVX

  Explanation method for Graph Neural Networks (GNNs)

  Language:Python6117

• guanchuwang/SHEAR

  Towards Efficient Shapley Value Estimation via Cross-contribution Maximization

  Language:Python133

• understandable-machine-intelligence-lab/Quantus

  Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations

  Language:Jupyter Notebook56376

• scholarly-python-package/scholarly

  Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!

  Language:Python1.4k307

• yaorong0921/driver-gaze-yolov5

  This is the repo for the work "Where and What: Driver Attention-based Object Detection".

  Language:Python93

• yaorong0921/GeScale

  This is the repo for the work "Talking with your hands: Scaling hand gestures and recognition with cnns".

  Language:Python136

• yaorong0921/Driver-Intention-Prediction

  A framework predicts driver's maneuver behaviors

  Language:Python268

• yaorong0921/CUB-GHA

  This repo includes the CUB-GHA (Gaze-based Human Attention) dataset and code of the paper "Human Attention in Fine-grained Classification".

  Language:Python281

• casparbein/OctopusInsularis

  Bioinformatic scripts for a ddRADseq analysis of Octopus insularis

  Language:Jupyter Notebook1

• amir-abdi/disentanglement-pytorch

  Disentanglement library for PyTorch

  Language:Python27430

• tarunsharma1/saliency_metrics

  Language:Python5618

• raoyongming/CAL

  [ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

  Language:Python14624

• tleemann/road_evaluation

  Source Code of the ROAD benchmark for feature attribution methods (ICML22)

  Language:Jupyter Notebook207

• ada-shen/icCNN

  This repository is a pytorch implementation of interpretable compositional convolutional neural networks.

  Language:Python213

• open-mmlab/OpenPCDet

  OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

  Language:Python4.7k1.3k

• chihkuanyeh/concept_exp

  code release for the paper "On Completeness-aware Concept-Based Explanations in Deep Neural Networks"

  Language:Python5115

• EryiXie/PlaneRecNet

  This is an official implementation for "PlaneRecNet" (BMVC 2021).

  Language:Python7918

• wenjiaXu/APN-ZSL

  This is a PyTorch implementation of the paper "Attribute Prototype Network for Zero-Shot Learning".

  Language:Python698

• Confusezius/Revisiting_Deep_Metric_Learning_PyTorch

  (ICML 2020) This repo contains code for our paper "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning" (https://arxiv.org/abs/2002.08473) to facilitate consistent research in the field of Deep Metric Learning.

  Language:Python34250

• qubvel-org/segmentation_models.pytorch

  Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

  Language:Python9.8k1.7k