charles-kang Goto Github PK

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

head-pose-estimation

Real-time head pose estimation built with OpenCV and dlib

ntu-hsuantienlin-machinelearning

overcoming-catastrophic

Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow

patient_similarity

physics-based-deep-learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

researchlstm

Multivariate Industrial Time Series with Cyber-Attack Simulation: Fault Detection Using an LSTM-based Predictive Data Model

rootcauseanalysisofproductionlinefailure

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

snn_benchmark

tennessee-eastman-process

Production ready statistical process monitoring and anomaly detection program for a typical chemical production plant

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

tpa-lstm-pytorch

This is the PyTorch implementation of TPA-LSTM