zzzly-05 Goto Github PK

a-reproducible-approach-to-merging-behavior-analysis-based-on-high-definition-map

transparent and reproducible analysis of merging behavior: evidence from exiD dataset

advanced-forecasting-of-stock-prices-with-lstm-networks-with-attention-based-mechanisms

Colab Notebooks containing all the code for my MSc Artifical Intelligence degree from St Andrews

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

att-bilstm-for-emotion-recognition

An attention based Bi-LSTM model for tweet emotion recognition

attention-based-lane-changing

attention_based_lstm_for_aspect-level_sentiment_classification

boostaroota

A fast xgboost feature selection algorithm

chatall

Concurrently chat with ChatGPT, Bing Chat, bard, Alpaca, Vincuna, Claude, ChatGLM, MOSS, iFlytek Spark, ERNIE and more, discover the best answers

chinese-std-gb-t-7714-related-csl

GB/T 7714相关的csl以及Zotero使用技巧及教程。

conv-social-pooling

Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

cooperative-lane-changes-trajectory-planning-of-cavs

Codes of "Cooperative Lane Change Motion Planning of Connected and Automated Vehicles: A Stepwise Computational Framework"

csdn-code-link

由于CSDN博客里面不能直接上代码链接，涉嫌营销推广，因此建一个github仓库用于整理这些代码链接

data-science-notes

数据科学的笔记以及资料搜集

data_mining_models

Basic data mining model, including feature importance display

deepstack-dtis

DeepStack-DTIs: Predicting Drug-target Interactions Using LightGBM Feature Selection and Deep Stacked Ensemble Classifier

dmchm

Lane-changing decision model based on deep Markov model and Cognitive Hierarchy model

driveagi

Embracing Foundation Models into Autonomous Agent and System

driver-stress-detection-via-multimodal-fusion-using-attention-based-cnn-lstm

Stress has been identified as one of major contributing factors in car crashes due to its negative impact on driving performance. It is in urgent need that the stress levels of drivers can be detected in real time with high accuracy so that intervening or navigating measures can be taken in time to mitigate the situation.

driving_simulator_highd_data

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

feature-engineering-tutorials

Data Science Feature Engineering and Selection Tutorials

feature-selection-for-machine-learning

feature-validation

Code to reproduce the results from our 2020 IEEE ITSC paper "Towards Feature Validation in Time to Lane Change Classification using Deep Neural Networks."

gaussian_velocity_field

This repo provides a rudimentary implementation of Gaussian Velocity Field.

github-slideshow

A robot powered training repository :robot:

highd

基于HighD的驾驶员特性识别

highd-congestion

highd-dataset_tracknneighbors

outputs the features of the vehicles along with the featuures of neighboring vehicles track by track. This is suitable for vehicle trajectory prediction task

highd-ngsim-lane-change-feature-extraction

HighD,NGSIM lane change feature extraction and save.

highwayenv

A minimalist environment for decision-making in autonomous driving