Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

Author's PyTorch implementation of TD3 for OpenAI gym tasks

https://hrl.boyuai.com/

Implementation of Symbolic Relational Deep Reinforcement Learning based on Graph Neural Networks

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Scalable Time Series Data Analytics

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

Tracking Any Point (TAP)

PyTorch implementation of "Super-Realtime Facial Landmark Detection and Shape Fitting by Deep Regression of Shape Model Parameters" predicting facial landmarks with up to 400 FPS

A small package for loading and handling UEA UCR time series classification datasets.

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Preprocesamiento de BCI Competition IV data set 2a

A toolkit for machine learning from time series

Repository for ICML2022

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.

[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

This directory contains code necessary to run the GraphNAS algorithm.

Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)

tsl: a PyTorch library for processing spatiotemporal data.

Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

Graph Attention Networks (https://arxiv.org/abs/1710.10903)