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Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
Python histogram library - histograms as updateable, fully semantic objects with visualization tools. [P]ython [HYST]ograms.
Large scale simulation of ODEs or SDEs, analyze time series.
A comprehensive toolkit for ergodicity economics and related fields.
Official implementation for NeurIPS23 paper: Causal Discovery from Subsampled Time Series with Proxy Variable
Official implementation for ICML23 paper: Which Invariance Should We Transfer? A Causal Minimax Learning Approach
Simulation studies of conditional local independence testing with debiased machine learning.
Source Code for VirtualHome environment
Latex code for making neural networks diagrams
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
A pytorch implementation of interpretable convolutional neural network.
The code to reproduce CVPR 2021 paper "Towards Robust Classification Model by Counterfactual and Invariant Data Generation"
Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!
Robust segmentation of lung and airway in CT scans
Segmentation of lung, pulmonary vessels and pulmonary fissures in CT Scans
Use CNN to detect nodules in LIDC dataset.
[NeurIPS D&B 2023] Offical Pytorch implementation of "ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors"
UAI2023 "Conditional Counterfactual Causal Effect for Individual Attribution"
Simple python code to calculate PostTCE and PostDCE
Failure archive for ChatGPT and similar models
Official implementation for the CVPR2023 paper: "GFPose: Learning 3D Human Pose Prior with Gradient Fields"
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
Implementations of common graphical models, utilities for creating random graphs, and sampling from graphical models.