[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

The dataset I am using is NEU-DET, which uses yolov8 and its improved models (including Coordinate Attention and Swin Transformer) for defect detection

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

使用强化学习的模型玩贪吃蛇游戏

This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.

A framework for drone racing research, built on Microsoft AirSim.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Tips for Writing a Research Paper using LaTeX

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

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023 DB Track)

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

Official DeiT repository

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

[ICML 2024 Oral] Official repository of the SparseTSF paper: "SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters". This work is developed by the Lab of Professor Weiwei Lin (l…

Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

OpenMMLab Detection Toolbox and Benchmark

Road detector

🔄 A tool for object detection and image segmentation dataset format conversion.

MONAI Tutorials

Count the MACs / FLOPs of your PyTorch model.

各种算法评价指标的实现（mAP/Flops/params/fps/error-rate/accuracy）