longmao911

poco

The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems.

DataStruct-Algorithm-Cplusplus

DataStruct and Algorithm based on CPP

UndoRedoPool

A library be used for managing undo and redo

GreedySnake

Game greedy snake by pygame

bevy_demo_2048

Game 2048 by rust-bevy

Universal_Robots_ROS2_Driver

Universal Robots ROS2 driver supporting CB3 and e-Series

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

6-DOF-DLR-robot-simulation-in-Matlab-Simulink

This is the full analysis of the forward, inverse kinematics, trajectory planning, path planning, and controlling the end effector.

ROS-Academy-for-Beginners

**大学MOOC《机器人操作系统入门》代码示例 ROS tutorial

oneflow

OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

redaction_with_deepstream

An example of using DeepStream SDK for redaction

GAAS

GAAS is an open-source program designed for fully autonomous VTOL(a.k.a flying cars) and drones. GAAS stands for Generalized Autonomy Aviation System.

dawn-bench-entries

DAWNBench: An End-to-End Deep Learning Benchmark and Competition

12306

12306智能刷票，订票

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

Simple_semantic_segmentation

smartdoor

Adlik

Adlik: Toolkit for Accelerating Deep Learning Inference

bert

TensorFlow code and pre-trained models for BERT

models

A collection of pre-trained, state-of-the-art models in the ONNX format

Machine-Learning-in-Action-Python3

《机器学习实战》的python3源码

kNN

机器学习实战

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

DataCastle-Solution

1st Place Solution for DataCastle-CashBus Competition

DeepInterests

深度有趣

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

models

Models and examples built with TensorFlow

caffe-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks