jieling-jin

jieling-jin's Stars

• DL-WG/gcn-lstm-wildfire

  Language:Jupyter Notebook81

• luanshiyinyang/GNN

  Tutorial about Graph Convolutional Network(GCN)

  Language:Python8821

• roboticcam/machine-learning-notes

  My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

  Language:Jupyter Notebook8.4k1.7k

• mermeroo/V2RAY-and-CLASH-Subscription-Links

  Lots of Clash and V2ray subscription links collected from GitHub and other public sources - V2ray 子链接 * CLASH 子链接 - V2RAY CLASH BASE64 SUB LINKS FREE NODES

  22838

• AubreyC/trajectory-extractor

  Python implementation of a simple vehicle trajectories extractor from traffic cameras

  Language:Python7321

• CATS-Lab/Filed-data-Corridor-Vehicle-Trajectory

  Language:Python5

• qunshansj/vehicle-speed-traffic-detection-yolo-deepsort

  YOLO＆Deepsort的车速＆车流量检测系统(源码＆部署教程)

  Language:Python292

• John1liu/YOLOV5-DeepSORT-Vehicle-Tracking-Master

  In this project, urban traffic videos are collected from the middle section of Xi 'an South Second Ring Road with a large traffic flow, and interval frames are extracted from the videos to produce data sets for training and verification of YOLO V5 neural network. Combined with the detection results, the open-source vehicle depth model data set is used to train the vehicle depth feature weight file, and the deep-sort algorithm is used to complete the target tracking, which can realize real-time and relatively accurate multi-target recognition and tracking of moving vehicles.

  Language:Jupyter Notebook8611

• jul095/TrafficMonitoring

  Trajectory Extraction of road users via Traffic Camera

  Language:Python227

• B1-80426/Traffic-crash-severity-prediction.

  Machine learning project

  Language:Jupyter Notebook1

• uic-cs418-traffic-crash-prediction/cs-418-traffic-crash-prediction

  Language:Jupyter Notebook12

• xhpxiaohaipeng/vehicle_trajectory_prediction_combined_with_behavior_recognition

  A vehicle trajectory prediction combined with vehicle behavior recognition,and propose an acceleration trajectory optimization algorithm.

  Language:Jupyter Notebook306

• leilin-research/VTP

  Vehicle Trajectory Prediction with Deep Learning Models

  Language:Python11318

• Henry1iu/TNT-Trajectory-Prediction

  A Unofficial Pytorch Implementation of TNT: Target-driveN Trajectory Prediction

  Language:Python50393

• xuehaouwa/Awesome-Trajectory-Prediction

  1.1k234

• SSX15/sumogqmix

  marl for traffic control

  Language:Python7

• mAzeems/Adaptive-Traffic-Signal-Control-of-Autonomous-Vehicles-using-MARL

  Adaptive Traffic Signal Control of Autonomous Vehicles using Multi-Agent Reinforcement Learning techniques and SUMO tool for vehicular simulation. Implemented algorithm: Independent Advantageous Actor-Critic (IA2C)

  Language:Python27

• oxwhirl/smac

  SMAC: The StarCraft Multi-Agent Challenge

  Language:Python1.1k228

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  60.3k9.9k

• PKU-RL/DGN

  DGN Code

  Language:Python33389

• starry-sky6688/MARL-Algorithms

  Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

  Language:Python1.4k279

• xinychen/visual-spatial-data

  Visualizing spatial data with Python

  Language:Jupyter Notebook81

• boyu-ai/Hands-on-RL

  https://hrl.boyuai.com/

  Language:Jupyter Notebook2.4k523

• LantaoYu/MARL-Papers

  Paper list of multi-agent reinforcement learning (MARL)

  4k724

• Kaimaoge/SUMO-DVSL

  A SUMO environment for differential varaible speed limits control

  Language:Python418

• interaction-dataset/interaction-dataset

  Interaction Dataset Python Scripts

  Language:Python19963

• OpenRunner/clash-freenode

  订阅地址🚀 免费共享♻️ 定期更新✨ 科学上网🌈 请勿滥用🚫一键订阅📪SSR/CLASH/V2RAY

  Language:Python4.5k393

• facebookresearch/mbrl-lib

  Library for Model Based RL

  Language:Python955155

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python64.4k8k

• tonggehuang/ITS_VSL_RL

  VSL control RL approach

  Language:Jupyter Notebook52