Tsuihao's Stars
commaai/openpilot
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.
Homebrew/brew
🍺 The missing package manager for macOS (or Linux)
terryum/awesome-deep-learning-papers
The most cited deep learning papers
ApolloAuto/apollo
An open autonomous driving platform
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
mahmoud/awesome-python-applications
💿 Free software that works great, and also happens to be open-source Python.
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
jupyterlab/jupyterlab
JupyterLab computational environment.
extreme-assistant/CVPR2024-Paper-Code-Interpretation
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
qqwweee/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
tensorflow/tpu
Reference models and tools for Cloud TPUs.
skilion/onedrive
Free Client for OneDrive on Linux
gjy3035/Awesome-Crowd-Counting
Awesome Crowd Counting
bamos/densenet.pytorch
A PyTorch implementation of DenseNet.
mscoutermarsh/dotfiles
my Vim/Tmux config :muscle::zap:
RoboStack/jupyter-ros
Jupyter widget helpers for ROS, the Robot Operating System
udacity/CarND-Term1-Starter-Kit
lozuwa/impy
Impy is a Python3 library with features that help you in your computer vision tasks.
twaisu/AI-Training-and-New-Tech
Share AI training courses, materials, and new technologies/papers
ibebrett/CUDA-CS344
My solutions to Udacity's Parallel Programming course (CS 344)
gjy3035/PCC-Net
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
AndrewGls/CarND-Path-Planning-Project
In this project, the goal is to design a path planner that is able to create smooth, safe paths for the car to follow along a 3 lane highway with traffic. A successful path planner will be able to keep inside its lane, avoid hitting other cars, and pass slower moving traffic all by using localization, sensor fusion, and map data.
ksakmann/CarND-BehavioralCloning
Convolutional Neural Network that clones human driving behavior in a simulator
vamsiramakrishnan/TrafficSignRecognition
A Deep Neural Network to do traffic sign recognition
yrahal/udacity-carnd
Creates a Docker image with all the prerequisites needed to run the projects of the Udacity Self-Driving Car Nanodegree.
asadziach/CarND-Capstone
Build ROS nodes to implement core functionality of autonomous vehicle: Perception, Planning and Control. Validate by safely driving Carla around a road, observing speed limit and stop at traffic lights when needed.
LIYUNG/TaiGer_Portal
4SkyNet/CarND-Capstone
ufoym/pure-cornucopia
ready-to-compile version of Ilya's Cornucopia