Pinned Repositories
ai-edu
AI education materials for Chinese students, teachers and IT professionals.
ai-for-grant-writing
A curated list of resources for using LLMs to develop more competitive grant applications.
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Algorithms-and-Coding-Interviews
Open source content from a book in progress, Hands-on Algorithmic Problem Solving
charging_station_location_selection
chrisyangsong.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
pavement_condition_prediction
roundabout_capacity_estimation
state_of_charge_prediction
TMC2GMNS
TMC2GMNS
chrisyangsong's Repositories
chrisyangsong/pavement_condition_prediction
chrisyangsong/ai-for-grant-writing
A curated list of resources for using LLMs to develop more competitive grant applications.
chrisyangsong/charging_station_location_selection
chrisyangsong/chrisyangsong.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
chrisyangsong/roundabout_capacity_estimation
chrisyangsong/state_of_charge_prediction
chrisyangsong/TMC2GMNS
TMC2GMNS
chrisyangsong/batch11_e_cartomobile
Encourager et planifier la mobilité électrique dans les territoires avec l’Open-Data
chrisyangsong/CE521
chrisyangsong/cpp
chrisyangsong/Dash-by-Plotly
Interactive data analytics
chrisyangsong/Driving-IRL-NGSIM
Implementation of the T-ITS paper "Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning"
chrisyangsong/e-cartomobile-ui
⚡️ Encourager et planifier la mobilité électrique dans les territoires avec l’Open-Data.
chrisyangsong/EV_Charging_Station_Access_Equlibrium_Model
chrisyangsong/highway-env
A minimalist environment for decision-making in autonomous driving
chrisyangsong/LeetCode-Book
《剑指 Offer》 Python, Java, C++ 解题代码，LeetBook《图解算法数据结构》配套代码仓。
chrisyangsong/leetcode_learn
chrisyangsong/macad-gym
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
chrisyangsong/Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
chrisyangsong/mhdzev
chrisyangsong/mlbook
Repository for the free online book Machine Learning from Scratch (link below!)
chrisyangsong/my-deep-learning-assignment
chrisyangsong/Path4GMNS
An open-source, cross-platform, lightweight, and fast Python path engine for networks encoded in GMNS.
chrisyangsong/Path4GMNS_Learning
Learning Notes & Code.
chrisyangsong/pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
chrisyangsong/rl-agents
Implementations of Reinforcement Learning and Planning algorithms
chrisyangsong/rl_learn
chrisyangsong/SMLPSU.github.io
chrisyangsong/ST-EVCDP
A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.
chrisyangsong/The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing