Luanrly/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
A playbook for systematically maximizing the performance of deep learning models.
Tensorflow实战学习笔记、代码、机器学习进阶系列
PySpark-Tutorial provides basic algorithms using PySpark
Python Implementation of Reinforcement Learning: An Introduction
Machine learning resources
spacemacs中文文档
Vim 从入门到精通
:octocat: Find pearls on open-source seashore 分享 GitHub 上有趣、入门级的开源项目
计算机系统要素-从零开始构建现代计算机
经典编程书籍大全,涵盖:计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
存放JAVA开发的设计思想、算法:《剑指Offer》、《编程珠玑》、《深入理解Java虚拟机:JVM高级特性与最佳实践》、《重构-改善既有代码的设计 中文版》、《clean_code(中文完整版)》、《Java编程思想(第4版)》、《Java核心技术 卷I (第8版)》、《Quartz_Job+Scheduling_Framework》;一些大的上传不上来的文件在README
keras implementation of Faster R-CNN
tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials
Interview = 简历指南 + LeetCode + Kaggle
The deeplearning algorithms implemented by tensorflow
tensorflow implementation of 'YOLO : Real-Time Object Detection'
周志华《机器学习》阅读笔记
吴恩达老师的机器学习课程个人笔记
《统计学习方法》的代码实现
The "Python Machine Learning (2nd edition)" book code repository and info resource
《剑指Offer》面试题Python实现
Basic Machine Learning and Deep Learning
The "Python Machine Learning (1st edition)" book code repository and info resource
Python - 100天从新手到大师
PyTorch Tutorial for Deep Learning Researchers
A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch
An implementation of DetNet with Keras.
problem-solving-with-algorithms-and-data-structure-using-python 中文版