Zhiliang Zhou's repositories

spconv_lite

sparse convolution lib. derived from spconv

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second_lite

object detection with lidar point cloud, with real-time performance. This is a simplified version of SECOND project by Yan Yan

lane_detector

PINet based lane detector for various road types and lane directions, trained with tusimple, culane, and bdd100k. Fine tuning, benchmark and deployment pipeline are not included.

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lidarviewer

a pointcloud visualization tool, when data is not rosbag, and rviz is not abailable. I like rviz.

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adma_ros_driver

ADMA - GPS Receiver for ROS

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CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

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docker-airflow

Docker Apache Airflow

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generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

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imgui

Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

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install_scripts

setups and install scripts for virtual machine

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leedeeprl-notes

李宏毅《深度强化学习》笔记,在线阅读地址:https://datawhalechina.github.io/leedeeprl-notes/

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LeGO-LOAM-BOR

LeGO-LOAM-BOR: optimized Lidar Odometry and Mapping

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llama.cpp

Port of Facebook's LLaMA model in C/C++

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modern-cmake-sample

Example library that shows best practices and proper usage of CMake by using targets

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nodeeditor

Qt Node Editor. Dataflow programming framework

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ONE-Robot

2015年做的一个基于IMU和STM32的独轮自平衡机器人

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Open3D

Open3D: A Modern Library for 3D Data Processing

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rl-portfolio-management

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

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second.pytorch

SECOND for KITTI/NuScenes object detection

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spconv

Spatial Sparse Convolution in PyTorch

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stock

stock,股票系统。使用python进行开发。

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toolchains

builder and runtime containers

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whisper.cpp

Port of OpenAI's Whisper model in C/C++

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YOLACT_masszhou

study and modification from original YOLCAT

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yourwhisper

a voice interface to chatGPT similar service, including speech to text, then LLM response, finally text to speech

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