Pinned Repositories
Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
CrossDomainFaultDiagnosis
Repository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Transport
DDPG
End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo
Deep-Learning
Facial-Expression-Detection
Facial Expression or Facial Emotion Detector can be used to know whether a person is sad, happy, angry and so on only through his/her face. This Repository can be used to carry out such a task.
fault-diagnosis
PhD research-related software on fault diagnosis
gnn-meta-attack
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
HATT-Proto
Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification
Charles-kang's Repositories
Charles-kang/Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
Charles-kang/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
Charles-kang/CrossDomainFaultDiagnosis
Repository containing the code for the experiments and examples of my Bachelor Thesis: Cross Domain Fault Detection through Optimal Transport
Charles-kang/DDPG
End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo
Charles-kang/Deep-Learning
Charles-kang/Facial-Expression-Detection
Facial Expression or Facial Emotion Detector can be used to know whether a person is sad, happy, angry and so on only through his/her face. This Repository can be used to carry out such a task.
Charles-kang/fault-diagnosis
PhD research-related software on fault diagnosis
Charles-kang/gnn-meta-attack
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
Charles-kang/Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Charles-kang/HATT-Proto
Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification
Charles-kang/head-pose-estimation
Real-time head pose estimation built with OpenCV and dlib
Charles-kang/NTU-HsuanTienLin-MachineLearning
Charles-kang/overcoming-catastrophic
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
Charles-kang/patient_similarity
Charles-kang/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Charles-kang/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Charles-kang/researchLSTM
Multivariate Industrial Time Series with Cyber-Attack Simulation: Fault Detection Using an LSTM-based Predictive Data Model
Charles-kang/RootCauseAnalysisOfProductionLineFailure
Charles-kang/simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
Charles-kang/SNN_benchmark
Charles-kang/Tennessee-Eastman-Process
Production ready statistical process monitoring and anomaly detection program for a typical chemical production plant
Charles-kang/Time-Series-Papers
List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法
Charles-kang/TPA-LSTM-PyTorch
This is the PyTorch implementation of TPA-LSTM