STYTY

STYTY's Stars

• maozezhong/TIANCHI_XUELANG_AI

  天池雪浪布匹瑕疵检测，初赛线上949，排名9/2403

  Language:Python18876

• TingsongYu/PyTorch_Tutorial

  《Pytorch模型训练实用教程》中配套代码

  Language:Python7.6k1.7k

• ultralytics/yolov3

  YOLOv3 in PyTorch > ONNX > CoreML > TFLite

  Language:Python10.3k3.5k

• 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

• formulahendry/955.WLB

  955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

  34.8k1.8k

• whlook/VOCMaker

  自动化标注工具，用来制作VOC格式的数据集

  Language:C++13049

• sundyCoder/DEye

  Keep an Eye on Defects Inspection.

  Language:C++874371

• deeplearning-ai/machine-learning-yearning-cn

  Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

  Language:CSS7.8k1.5k

• puzzledqs/BBox-Label-Tool

  A simple tool for labeling object bounding boxes in images

  Language:Python1.1k561

• nndl/nndl.github.io

  《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

  Language:HTML17.6k3.6k

• SpikeKing/keras-yolo3-detection

  YOLO v3 物体检测算法

  Language:Python634235

• qqwweee/keras-yolo3

  A Keras implementation of YOLOv3 (Tensorflow backend)

  Language:Python7.1k3.4k

• zergtant/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

  Language:Jupyter Notebook20.5k5.4k

• czy36mengfei/tensorflow2_tutorials_chinese

  tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

  Language:Jupyter Notebook7.8k2k

• massquantity/neural-style-transfer

  艺术风格转换

  Language:Python198

• agalwood/Motrix

  A full-featured download manager.

  Language:JavaScript46.3k4.6k

• matplotlib/matplotlib

  matplotlib: plotting with Python

  Language:Python20.5k7.7k

• pjreddie/darknet

  Convolutional Neural Networks

  Language:C25.9k21.3k

• 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

• keras-team/keras

  Deep Learning for humans

  Language:Python62.3k19.5k

• ageron/tf2_course

  Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

  Language:Jupyter Notebook1.9k541

• lmoroney/dlaicourse

  Notebooks for learning deep learning

  Language:Jupyter Notebook5.7k5.3k

• d2l-ai/berkeley-stat-157

  Homepage for STAT 157 at UC Berkeley

  Language:Jupyter Notebook3.7k1.5k

• apachecn/ailearning

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

  Language:Python39.9k11.5k

• ydu20/Tensorflow-Lessons

  Basic code to learn Tensorflow

  Language:Jupyter Notebook2317