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a_surface_defect_detection_based_on_positive_samples

generate randomly defects on positive samples and restore them with GAN.

adaboost_seg

TIP2022 Adaptive Boosting (AdaBoost) for Domain Adaptation ? :woman_shrugging: Why not ! :ok_woman:

amortized-optimization-tutorial

Tutorial on amortized optimization for learning to optimize over continuous domains

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

anomaly-detection-patchsvdd-pytorch

arl_battlespace

This repository is to develop novel AIs for complex C2 decision making. It consists of parallel branches for GUI and for AI development (coming soon) for the ARL Battlespace wargame.

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

automahalanobis

A PyTorch implementation of an autoencoder trained to minimize the Mahalanobis distance between input and reconstruction.

awesome-federated-learning

All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

awesome-python-cn

Python资源大全中文版，内容包括：Web框架、网络爬虫、网络内容提取、模板引擎、数据库、数据可视化、图片处理、文本处理、自然语言处理、机器学习、日志、代码分析等

awesome-trustworthy-gnns

backdoor_federated_learning

Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)

backdoors101

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

benchmarking-gnns

Repository for benchmarking graph neural networks

branch-search-trees

Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies (AAAI 2021)

branch2learn

:trident: Learning to Branch in Mixed Integer Linear Programming with Graph Convolutional Neural Networks in Ecole

causal-semantic-generative-model

Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

cfd_julia

This repository contains fundamental codes related to CFD that can be included in any graduate level CFD coursework.

cflow-ad

Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

closed_loop_ncuc_dataset

This is the dataset for the paper entitled "Feature-Driven Economic Improvement for Network-Constrained Unit Commitment: A Closed-Loop Predict-and-Optimize Framework"

cm-gan-inpainting

CM-GAN for Image Inpainting

coding-interview-university

A complete computer science study plan to become a software engineer.

cpf

The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

dagmm

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

deep-clustering-network

PyTorch implementation of "Towards k-means-friendly spaces: Simultaneous deep learning and clustering," Bo Yang et al., 2017.

dive-into-dl-pytorch

本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。

dra

Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomaly detection, few-shot anomaly detection.

fate

fed-sc

Fed-SC: one-shot federated scheme for subspace clustering