Xianda-Chen
PhD student: Intelligent Transportation
the Hong Kong University of Science and Technology.
Xianda-Chen's Stars
cbfinn/maml_rl
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
tristandeleu/pytorch-maml-rl
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
cbfinn/maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
facebookresearch/higher
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
WangRongsheng/ChatGenTitle
🌟 ChatGenTitle:使用百万arXiv论文信息在LLaMA模型上进行微调的论文题目生成模型
kaixindelele/ChatOpenReview
Crowdfunding open source projects: use OpenReview's high-quality review data to fine-tune a professional review and response LLM. 众筹开源项目:利用OpenReview的优质审稿数据,微调出一个专业的审稿和审稿回复GPT
nishiwen1214/ChatReviewer
ChatReviewer: 使用ChatGPT分析论文优缺点,提出改进建议
kaixindelele/ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
MCZhi/Driving-IRL-NGSIM
[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning
Henry1iu/TNT-Trajectory-Prediction
A Pytorch Implementation of TNT: Target-driveN Trajectory Prediction
scutan90/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
arclab-hku/AeCoM_Aerial-Continuum-Manipulator
Jun, 2021 - Mar, 2023. Adaptive Robotic Controls Lab (ArcLab), The University of Hong Kong (HKU). Manuscript received 15 November 2022; accepted 9 March 2023. This work was supported by the General Research Fund under Grant 17204222, and in part by the Seed Funding for Strategic Interdisciplinary Research Scheme and Platform Technology Fund.
michigan-traffic-lab/Dense-Deep-Reinforcement-Learning
This repo contains the code for paper "Dense reinforcement learning for safety validation of autonomous vehicles"
hku-mars/FAST-LIVO
A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Farama-Foundation/HighwayEnv
A minimalist environment for decision-making in autonomous driving
ClownW/Reinforcement-learning-with-PyTorch
Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch
MorvanZhou/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
lexfridman/deeptraffic
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Haoran-SONG/PiP-Planning-informed-Prediction
(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving
RobertKrajewski/highD-dataset
datawhalechina/easy-rl
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Urban-Analytics/data-driven-car-following
Development of parametric, deep learning, and reinforcement learning agent-based model of car-following behaviour. The models aim to be data-driven, and take into account the heterogeneity of drivers' behaviour and vehicle types. Potential future applications include investigation of a mixed traffic of human-driven vehicles and autonomous vehicles.
nqyy/lane-change-prediction-lstm
LSTM lane-changing detection utilizing highD dataset
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
VincentWong3/automated-driving-control