Pinned Repositories
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500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
awesome-graph-explainability-papers
Papers about explainability of GNNs
Awesome-of-Time-Series-Augmentation
A curated list of time series augmentation resources.
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
CARLA
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
causal-inference-visual-guides
A collection of visual guides to help applied scientists learn causal inference.
transdim
Machine learning for transportation data imputation and prediction.
xueyagaga's Repositories
xueyagaga/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
xueyagaga/awesome-graph-explainability-papers
Papers about explainability of GNNs
xueyagaga/Awesome-of-Time-Series-Augmentation
A curated list of time series augmentation resources.
xueyagaga/CARLA
CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms
xueyagaga/causal-inference-visual-guides
A collection of visual guides to help applied scientists learn causal inference.
xueyagaga/cf-shap-facct22
Counterfactual Shapley Additive Explanation: Experiments
xueyagaga/CFforTrafficForecast
Counterfactual explanations for deep learning based traffic forecast
xueyagaga/dataset
医学影像数据集列表
xueyagaga/datasets
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
xueyagaga/efaqa-corpus-zh
❤️Emotional First Aid Dataset, 心理咨询问答、聊天机器人语料库
xueyagaga/EpiGNN
[ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting
xueyagaga/etas
calibrate ETAS, simulate using ETAS, estimate completeness magnitude & magnitude frequency distribution
xueyagaga/example-causal-datasets
Example causal datasets with consistent formatting and ground truth
xueyagaga/focal-loss-keras
Binary and Categorical Focal loss implementation in Keras.
xueyagaga/GNNPapers
Must-read papers on graph neural networks (GNN)
xueyagaga/gym-miniworld
MiniWorld: Minimalistic 3D Environment for RL & Robotics Research
xueyagaga/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
xueyagaga/lifelines
Survival analysis in Python
xueyagaga/lingam
Python package for causal discovery based on LiNGAM.
xueyagaga/mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.
xueyagaga/OmniXAI
OmniXAI: A Library for eXplainable AI
xueyagaga/PixelLib
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
xueyagaga/Python-EEG-Handbook
Python脑电数据处理中文手册 - A Chinese handbook for EEG data analysis based on Python
xueyagaga/Pytorch-Medical-Segmentation
This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D.
xueyagaga/Real-CyberSecurity-Datasets
Public datasets to help you address various cyber security problems.
xueyagaga/SegLoss
A collection of loss functions for medical image segmentation
xueyagaga/SOTA-MedSeg
SOTA medical image segmentation methods based on various challenges
xueyagaga/temporai
TemporAI: ML-centric Toolkit for Medical Time Series
xueyagaga/time_series_augmentation
An example of time series augmentation methods with Keras
xueyagaga/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.