Stars
Source Code for Captionomaly: A Deep Learning Toolbox for Anomaly Captioning in Surveillance Videos
Existing Literature about Machine Unlearning
A Toolbox for Adversarial Robustness Research
Official Pytorch implementation of paper "Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images"
A toolbox to iNNvestigate neural networks' predictions!
Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).
GrapAL landing page, user guide & documentation
On the Predictability of Utilizing Rank Percentile to Evaluate Scientific Impact
Comparison of famous convolutional neural network models
Predict author h-index and paper citation counts on the dataset underlying Semanic Scholar
Code and examples for "Learning on Knowledge Graph Dynamics Provides Early Warning of Impactful Research".
Pytorch implementation of AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks
Face Anti-spoofing Attack Detection Challenge@CVPR2020
[AAAI 2021] Code for the Paper "Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract)"
An index of algorithms for learning causality with data
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
Code and information for face image quality assessment with SER-FIQ
A library for federated learning (a distributed machine learning process) in an enterprise environment.
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
Data Shapley: Equitable Valuation of Data for Machine Learning
Official Code for the paper: "AI-enabled Object Detection in UAVs: Challenges, Design Choices, and Research Directions", IEEE Networks
PyTorch ,ONNX and TensorRT implementation of YOLOv4