ethan-ye Goto Github PK

100-days-of-ml-code

100-Days-Of-ML-Code中文版

a-to-z-resources-for-students

Curated list of resources for college students

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

android-demo-app

PyTorch android examples of usage in applications

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

baidu-netdisk-downloaderx

⚡️ 一款图形界面的百度网盘不限速下载器，支持 Windows、Linux 和 Mac。 https://hacpai.com/article/1563154719934

byte-of-python

Beginners book on Python - start here if you don't know programming

cliquenet

Convolutional Neural Networks with Alternately Updated Clique (to appear in CVPR 2018)

cnn_autoencoder_mnist

CNN auto-encoder on mnist.

coding-interview-university

A complete computer science study plan to become a software engineer.

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cvpr2020

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

d2l-zh

《动手学深度学习》，英文版即伯克利深度学习（STAT 157，2019春）教材。面向中文读者、能运行、可讨论。

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

deeplab-context

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[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deformable-convnets

Deformable Convolutional Networks

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。

docs

TensorFlow documentation

dosvpn

🚀 极速、简单、开源的 VPN 访问外网学习先进科学技术的必备工具

dynamicrouting

Learning Dynamic Routing for Semantic Segmentation

eat_tensorflow2_in_30_days

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

efficient-segmentation-networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

ext_portrait_segmentation

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fire-dataset

various of fire pictures and videos in the repository

freess

免费ss账号 免费shadowsocks账号 免费v2ray账号 (长期更新)