WangChenchen925

WangChenchen925's Stars

• qemu/qemu

  Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.

  Language:C10.7k5.7k

• onnx/models

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

  Language:Jupyter Notebook8.1k1.4k

• onnx/onnx

  Open standard for machine learning interoperability

  Language:Python18.2k3.7k

• PaddlePaddle/Paddle

  PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

  Language:C++22.4k5.6k

• microsoft/vscode

  Visual Studio Code

  Language:TypeScript166k30k

• scutan90/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

  Language:JavaScript55.2k15.9k

• aws/amazon-sagemaker-examples

  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

  Language:Jupyter Notebook10.2k6.8k

• google/trax

  Trax — Deep Learning with Clear Code and Speed

  Language:Python8.1k821

• alibaba/graph-learn

  An Industrial Graph Neural Network Framework

  Language:C++1.3k269

• jeremyong/cpp_nn_in_a_weekend

  Article and source code reference to construct a C++ neural network in a weekend without any dependencies

  Language:C++14711

• niepp/mini_cnn

  a light-weight convolutional neural network based on c++ 11

  Language:C++52

• tiny-dnn/tiny-dnn

  header only, dependency-free deep learning framework in C++14

  Language:C++5.9k1.4k

• gnawice/mojo-cnn

  mojo cnn: c++ convolutional neural network

  Language:C++19660

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  14k1.4k

• facontidavide/PlotJuggler

  The Time Series Visualization Tool that you deserve.

  Language:C++4.5k636

• HumanSignal/labelImg

  LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

  Language:Python23.1k6.4k

• wkentaro/labelme

  Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

  Language:Python13.8k3.4k

• GitHubDaily/GitHubDaily

  坚持分享 GitHub 上高质量、有趣实用的开源技术教程、开发者工具、编程网站、技术资讯。A list cool, interesting projects of GitHub.

  33.5k3.6k

• TheAlgorithms/C-Plus-Plus

  Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

  Language:C++31k7.3k

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python196k46.1k

• EbookFoundation/free-programming-books

  :books: Freely available programming books

  Language:HTML347k62.4k

• ShusenTang/Dive-into-DL-PyTorch

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

  Language:Jupyter Notebook18.5k5.4k

• TrickyGo/Dive-into-DL-TensorFlow2.0

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

  Language:Jupyter Notebook3.8k821

• lyhue1991/eat_tensorflow2_in_30_days

  Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

  Language:Python10k2.5k

• apachecn/ailearning

  AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

  Language:Python39.9k11.5k

• matterport/Mask_RCNN

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

  Language:Python24.8k11.7k

• moveit/moveit2

  :robot: MoveIt for ROS 2

  Language:C++1.2k554

• intel/ros2_grasp_library

  Language:C++19245

• yehengchen/Object-Grasp-Detection-ROS

  Real-time Object Grasp Detection ROS package for YOLO

  Language:C++22173

• lianghongzhuo/PointNetGPD

  PointNetGPD is an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud.

  Language:Python34874