Tracy1024's Stars
eclipse-sumo/sumo
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
karpathy/llm.c
LLM training in simple, raw C/CUDA
MIT-SPARK/Kimera
Index repo for Kimera code
avishkarsaha/translating-images-into-maps
Official PyTorch code for 'Translating Images Into Maps' ICRA 2022 (Outstanding Paper Award)
jedeschaud/ct_icp
CT-ICP: Continuous-Time LiDAR Odometry
fzi-forschungszentrum-informatik/Lanelet2
Map handling framework for automated driving
SeokjuLee/VPGNet
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)
MisterBooo/LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
wgcban/SPIN_RoadMapper
Official implementation of our ICRA'22 paper: SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving
liuii/DiaryOfLiuII
我的日记
dectrfov/ICRA2021PaperList
ICRA 2021 paper list
KIT-MRT/mrt_cmake_modules
Automated catkin project handling framework
AmandaZou/Data-Science-books-
A repository of books in data science
AtsushiSakai/PythonRobotics
Python sample codes for robotics algorithms.
open-mmlab/OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
LeoHsiao1/pyexiv2
Read and write image metadata, including EXIF, IPTC, XMP, ICC Profile.
logangraham/arXausality
A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
fulifeng/Causal_Reading_Group
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
pandas-dev/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
teadocs/pandas-cn
Pandas中文文档,欢迎贡献!
pgmpy/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
jmschrei/pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.