lukas0516

lukas0516's Stars

• LiangzgJlu/R-TISM

  R-TSIM: A Robust Time-Series Independent Car-Following Model

  Language:Python1

• coordinated-systems-lab/CarFollowModels

  This repo contains code for comparison of classical and data-driven car following models.

  Language:Jupyter Notebook8

• wdndev/llm_interview_note

  主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

  Language:HTML4.4k509

• ENSTA-U2IS-AI/awesome-uncertainty-deeplearning

  This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

  60057

• bstabler/TransportationNetworks

  Transportation Networks for Research

  Language:Jupyter Notebook799454

• CU-DitecT/TRC21-PINN-CFM

  Language:Jupyter Notebook113

• mathLab/PINA

  Physics-Informed Neural networks for Advanced modeling

  Language:Python41267

• maziarraissi/PINNs

  Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

  Language:Python4.1k1.3k

• omniscientoctopus/Physics-Informed-Neural-Networks

  Investigating PINNs

  Language:Jupyter Notebook536132

• Petrichor625/BATraj-Behavior-aware-Model

  [AAAI 2024] Official PyTorch Implementation of ''BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving''.

  Language:Python878

• ZhihanLee/Constrained-SAC-PPO

  A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagrangian) and Proximal Policy Optimization Lagrangian

  Language:Python292

• corl-team/CORL

  High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

  Language:Python49923

• shawnrosofsky/PINO_Applications

  Applications of PINOs

  Language:Jupyter Notebook11226

• Jianxun-Wang/PIMBRL

  Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control

  Language:Python4610

• nanditadoloi/PINN

  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)

  Language:Jupyter Notebook26947

• gmisy/Physics-Informed-Neural-Networks-for-Power-Systems

  Language:Python8324

• idrl-lab/PINNpapers

  Must-read Papers on Physics-Informed Neural Networks.

  Language:Python983163

• jayroxis/PINNs

  PyTorch Implementation of Physics-informed Neural Networks

  Language:Jupyter Notebook562134

• zilin-huang/PE-RLHF

  The official code for paper "Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving"

  Language:Python18

• benchoi93/DGMinTransportation

  Language:Jupyter Notebook91

• eseckel/ai-for-grant-writing

  A curated list of resources for using LLMs to develop more competitive grant applications.

  Language:Python3.3k427

• jiachenli94/Awesome-Interaction-Aware-Trajectory-Prediction

  A selection of state-of-the-art research materials on trajectory prediction

  Language:TeX1.5k301

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6.6k592

• lucidrains/minGRU-pytorch

  Implementation of the proposed minGRU in Pytorch

  Language:Python26320

• bassamlab/SigmaRL

  SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning

  Language:Python381

• eliahuhorwitz/Academic-project-page-template

  A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/

  Language:JavaScript2.3k356

• harvard-edge/QuaRL

  QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.

  Language:Python6612

• CDM1619/Networked-MB-MARL

  Language:HTML576

• toshikwa/gail-airl-ppo.pytorch

  PyTorch implementation of GAIL and AIRL based on PPO.

  Language:Python20333

• wandb/wandb

  The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

  Language:Python9.3k690