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lxixi-beat11's Projects
100-days-of-ml-code
100 Days of ML Coding
100-days-of-ml-code-1
100-Days-Of-ML-Code中文版
a-programmers-guide-to-english
专为程序员编写的英语学习指南 v1.2。在线版本请点 ->
blog
Everything about database,business.(Most for PostgreSQL).
cheatsheets
Official Matplotlib cheat sheets
cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/
convnetquake
Convolutional Neural Network for Earthquake detection and location
coursera_deep_learning
This something about deep learning on Coursera by Andrew Ng
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60多个国家的400多所大学用于教学。
deep-learning-with-tensorflow-book
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
deep_learning_object_detection
A paper list of object detection using deep learning.
deeplearning-assignment
吴恩达-深度学习-课后作业-答案与总结
deeplearningbook-chinese
Deep Learning Book Chinese Translation
extubationfailureprediction
The codes of <Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units>
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
hello-world1
just a repository
hello_tf_c_api
Neural Network TensorFlow C API
machine-learning-yearning-cn
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
media-source-extract
MediaSource 视频提取教程
models
Models and examples built with TensorFlow
netron
Visualizer for neural network, deep learning, and machine learning models
nlp_tflite
nlp模型转tensorflow lite，并使用c++调用
py12306
🚂 12306 购票助手，支持集群，多账号，多任务购票以及 Web 页面管理
pyqt5-chinese-tutorial
PyQt5中文教程
python-100-days
Python - 100天从新手到大师
python3-cookbook
《Python Cookbook》 3rd Edition Translation
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
reinforce
Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments
shadowsocks-heroku
本项目已删除
tensorflow-examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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