Stars
Official implementation of "Holmes-VAD: Towards Unbiased and Explainable Video Anomaly Detection via Multi-modal LLM"
[ECCV 2022 & IJCV 2025] PyTorch code for SeqDeepFake: Detecting and Recovering Sequential DeepFake Manipulation
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling
Awesome Machine Unlearning (A Survey of Machine Unlearning)
Counterfactual-inference-based Text-classification Debiasing Framework.
Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)
Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"
This is the official code release for Bayesian Flow Networks.
A PyTorch implementation of Bayesian flow networks (Graves et al., 2023).
Unofficial Implementation of Bayesian Flow Network in easy PyTorch for didactic purposes
A simple implimentation of Bayesian Flow Networks (BFN)
Automated deep learning algorithms implemented in PyTorch.
NASBench: A Neural Architecture Search Dataset and Benchmark
Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)
Temporal code repo for "Mitigating poisoning attack by Shapley value"
An amortized approach for calculating local Shapley value explanations
Visualize the weights of the convolution filters and feature maps.
Visualizing weights and feature maps of VGG-16
Release for Improved Denoising Diffusion Probabilistic Models
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…