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attention_and_driving

A curated list of papers on theoretical and practical aspects of drivers' attention used for paper "Attention for Vision-Based Assistive and Automated Driving: A Review of Algorithms and Datasets" and report on "Behavioral research and practical models of drivers' attention".

awesome-phd-advice

Collection of advice for prospective and current PhD students

bdd_driving_model

capstone

cdnn-traffic-saliency

dataset-api

The ApolloScape Open Dataset for Autonomous Driving and its Application.

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dreyeve

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。

learningbycheating

(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning

ml-visuals

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

pytorch-tutorial

Build your neural network easy and fast

raft

sam

Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model. IEEE Transactions on Image Processing (2018)

tracknpred

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 implementations for several trajectory prediction methods including Social-GAN and TraPHic.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.