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Natural Language Processing Tutorial for Deep Learning Researchers
Scrapy爬取去哪儿网,并使用Django框架+PyEcharts实现可视化大屏。
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
Understand why employees leave a company and apply various machine learning models to predict the next leaver!
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains imple…
An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Hybrid UNet model for traffic prediction from traffic movies. The hybrid graph operation is a mixture of CNN and GNN operations to capture pixel topology and improve spatial generalization.
deep learning for image processing including classification and object-detection etc.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!