hans66hsu's starred repositories
leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
AI-Job-Notes
AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
awesome-anomaly-detection
A curated list of awesome anomaly detection resources
awesome-papers-fewshot
Collection for Few-shot Learning
awesome-video-anomaly-detection
Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
bayesian-torch
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Understanding-NN
Tensorflow tutorial for various Deep Neural Network visualization techniques
Awesome-Domain-Generalization
Awesome things about domain generalization, including papers, code, etc.
awesome-deep-gnn
Papers about developing deep Graph Neural Networks (GNNs)
fiveMinuteStats
A repo of short "vignettes" illustrating statistical concepts
Video-Classification-CNN-and-LSTM-
To classify video into various classes using keras library with tensorflow as back-end.
GraphWaveMachine
A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
Predictive-Uncertainty-Estimation-using-Deep-Ensemble
This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble
reliability-diagrams
Reliability diagrams visualize whether a classifier model needs calibration
awesome-few-shot-gnn
An index of algorithms for few-shot learning/meta-learning on graphs
IMPLEMENTATION_Variational-Auto-Encoder
Simple implementation of Variational Autoencoder
rl-policies-attacks-defenses
Adversarial attacks on Deep Reinforcement Learning (RL)
spectral_descriptors
A collection of spectral descriptors for 3D meshed surfaces
CS330-Stanford-Deep-Multi-Task-and-Meta-Learning
My notes and assignment solutions for Stanford CS330 (Fall 2019 & 2020) Deep Multi-Task and Meta Learning
uncertainty-GNN
Uncertainty Aware Semi-Supervised Learning on Graph Data
pygkernels
Graphs clustering using kernel measures and estimators. Kernel KMeans, Spectral Clustering, Kernel Ward etc.
rl-adversarial-attack
Adversarial attacks on deep reinforcement learning