Stars
A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊以及CNS论文和代码，正在持续更新中。
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
A Collection of Variational Autoencoders (VAE) in PyTorch.
This is a PyTorch Reimplementation of High-Capacity Convolutional Video Steganography with Temporal Residual Modeling (ICMR2019, oral)
The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dag…
A differentiable, 3D mesh renderer using TensorFlow.
Source code for "Nonlinear 3D Face Morphable Model"
core code for High-Capacity Convolutional Video Steganography with Temporal Residual Modeling
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
Multi-class Gaussian Process Classification with Noisy Inputs
Empirical tricks for training robust models (ICLR 2021)
To provide the stego community with C/C++ implementations of selected feature extractors mainly targeted at H.264 steganography.
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
torch-optimizer -- collection of optimizers for Pytorch
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…
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
A list of backdoor learning resources
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks
Code for Semantic Adversarial Attacks
CalTech256 image classification by Transfer Learning from VGG16 pre-trained model