wongwingtsan Goto Github PK

ali

Adversarially Learned Inference

anomalydetection4jets

Unsupervised ML Particle Graph Autoencoder Experiments

autoencoders-imageclustering

The project attempts to perform image clustering using the latent state representations generated by various types of autoencoders.

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

daegc

PyTorch implement of Deep Attention Embedding Graph Clustering (19IJCAI) https://www.ijcai.org/Proceedings/2019/0509.pdf

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

gnn4traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

google-research

Google Research

nmce-release

Code for Neural Manifold Clustering and Embedding

nwr-gae

otp-travel-time-matrix

Tutorial with reproducible example to estimate a travel time matrix using OpenTripPlanner and Python

r-gae

scaleogram

Scaleogram plot for Continuous Wavelet Transform made easy

scalogramimages

scalogram

trafficflowforecasting

Some TrafficFlowForecasting Solutions(交通流量预测解决方案)

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

tutorial

First Git Tutorial

variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

vgae_over_summer

A Variational Graph Autoencoder Code to identify clusters within a Graph - Similar to Non-Linear Principal Component Analysis