Lets make video diffusion practical!

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Code for our WRR paper "Toward Improved Predictions in Ungauged Basins: Exploiting the Power of Machine Learning"

建立SARIMA-LSTM混合模型预测时间序列问题。以PM2.5值为例，使用UCI公开的自2013年1月17日至2015年12月31日五大城市PM2.5小时检测数据，将数据按时间段划分，使用SARIMA过滤其线性趋势，再对过滤后的残差使用LSTM进行预测，最后对预测结果进行检验和分析。

The semantic segmentation of remote sensing images

Semantic segmentation of remote sensing image, using DeepLabv3（PyTorch）

使用ICNet模型对航拍图片(遥感图像)进行图像分割

遥感影像语义分割

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection…

A plugin that will automatically download PDFs of zotero items from sci-hub

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

Accompanying code for CCAM dataset

markdown Slide made by marp

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

A game theoretic approach to explain the output of any machine learning model.

A game theoretic approach to explain the output of any machine learning model.

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".

DeepWater: deep-learning for water quality

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.

Echarts3.0地图数据(含全国和省js以及全国、省、区县json)

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

a python demo (DQN) to show why traffic happen (为什么交通拥堵, 慢速变道是原因所在,里面有深度强化学习,但是目前还不收敛)

“华为云杯”2020深圳开放数据应用创新大赛 ·深圳北站周边交通拥堵指数预测代码方案