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arm_cortex-m3

该项目依据全国大学生集成电路创新创业大赛“ARM杯”赛题要求，在FPGA上搭建Cortex-M3软核、图像协处理器，并通过OV5640摄像头采集车牌图像，实现对车牌的识别与结果显示。项目基于Altera DE1 FPGA搭载Cortex-M3软核，依据AHB-Lite总线协议，将LCD1602、RAM、图像协处理器等外设挂载至Cortex-M3。视频采集端，设计写FiFo模块、SDRAM存储与输出、读FiFo模块、灰度处理模块、二值化、VGA显示等模块。最终将400位宽的结果数据（对应20张车牌）存储在RAM中，输出至AHB总线，由Cortex-M3调用并显示识别结果。

cores

Various HDL (Verilog) IP Cores

cva6

The CORE-V CVA6 is an Application class 6-stage RISC-V CPU capable of booting Linux

darkriscv

opensouce RISC-V cpu core implemented in Verilog from scratch in one night!

deep-learning-from-scratch

Source code and pdf from the book 《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)。

deep-q-learning

Tensorflow implementation of Deepminds dqn with double dueling networks

deep-reinforcement-learning-arm-manipulation-project-using-dqn-agent

Robotics-Deep Reinforcement Learning Project: Deep RL Arm Manipulation by using DQN (Deep Q-Learning Network) agent simulated on ROS-Gazebo with C++ API.

dqnturtlebot

Implementing Deep-Q-Learning to train a bot to navigate an environment with obstacles

drl_p3k

drl_path_planning

This is a DRL(Deep Reinforcement Learning) platform built with Gazebo for the purpose of robot's adaptive path planning.

e200_opensource

The Ultra-Low Power RISC Core

hunyter_doc

navbot

Using RGB Image as Visual Input for Mapless Robot Navigation

plantbot

A New ROS-based Robot Platform for Fast Building and Developing

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rocket-chip

Rocket Chip Generator

ros_exploring

《ROS机器人开发实践》源码

turtlebot3

ROS packages for Turtlebot3

vexriscv

A FPGA friendly 32 bit RISC-V CPU implementation

wujian100_open

IC design and development should be faster，simpler and more reliable