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awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

awesome_visual_prompt_paper

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cplusplus_tutorial

source code of cplusplus tutorial on bilibili

cplusplusthings

C++那些事

cppprimer

:books: Solutions for C++ Primer 5th exercises.

cs_python_notes

Some notes about computer sience and Python.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

fcntest

federated-learning-by-csx

Everything about Federated Learning (papers, tutorials, etc.) -- 联邦学习

hello-world

practice

hosts

:statue_of_liberty:最新可用的google hosts文件。国内镜像：

icra2021-paper-list

http://www.icra2021.org/

learningnote

C++和Linux学习笔记

mars-exploration-rover-elevation-mapping-with-noises

mars-rover

3D printed Curiosity/Perseverance inspired Rover

nasa-3d-resources

Here you'll find a growing collection of 3D models, textures, and images from inside NASA.

python

All Algorithms implemented in Python

python-100-days

Python - 100天从新手到大师

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

realsense-ros

Intel(R) RealSense(TM) ROS Wrapper for D400 series, SR300 Camera and T265 Tracking Module

realsense_samples_ros

Sample code illustrating how to develop ROS applications using the Intel® RealSense™ ZR300 camera for Object Library (OR), Person Library (PT), and Simultaneous Localization And Mapping (SLAM).

robot

ros_tutorials

Code used in tutorials found on ROS wiki

segmentation.x

Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tensorflow-segmentation

Semantic segmentation for visual terrain classification and autonomous navigation in TensorFlow

wenyaozhang.github.io

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