Stars
Daily tracking and organizing the latest arXiv papers in the field of autonomous driving (AD)
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
PyTorch implementation of adversarial attacks [torchattacks]
The open-sourced Python toolbox for backdoor attacks and defenses.
Restoration for TEMPEST images using deep-learning
This repository can be used to programatically download partial image-net pics for object detection model training
A curated list of papers & resources on backdoor attacks and defenses in deep learning.
Latex code for making neural networks diagrams
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …
iamseancheney / python-data-science-cheatsheet
Forked from jaystone776/python-data-science-cheatsheetPython数据科学速查表
deep learning implement for modulation classification ,codes for paper <Deep Architectures for Modulation Recognition>
code for Deep Neural Network Architectures for Modulation Classification
A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats
This is code of book "Learn Deep Learning with PyTorch"