123c-c321 Goto Github PK

algorithm_course

Dongbo Bu's Algorithm Course UCAS卜东波老师算法作业汇总

awesome-machine-learning-cn

机器学习资源大全中文版，包括机器学习领域的框架、库以及软件

baidupcs

百度网盘命令行工具。The terminal utility for Baidu Network Disk.

books

编程电子书，电子书，编程书籍，包括C，C#，Docker，Elasticsearch，Git，Hadoop，HeadFirst，Java，Javascript，jvm，Kafka，Linux，Maven，MongoDB，MyBatis，MySQL，Netty，Nginx，Python，RabbitMQ，Redis，Scala，Solr，Spark，Spring，SpringBoot，SpringCloud，TCPIP，Tomcat，Zookeeper，人工智能，大数据类，并发编程，数据库类，数据挖掘，新面试题，架构设计，算法系列，计算机类，设计模式，软件测试，重构优化，等更多分类

coursera-test

coursera test

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

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

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

fullstack-course4

Example code for HTML, CSS, and Javascript for Web Developers Coursera Course

hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow-3rd-edition

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

machinelearningdeeplearning

李宏毅2021机器学习深度学习笔记PPT作业

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

mathmodel

研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pytorchtutorial

PyTorch Tutorials from my YouTube channel

rekcarc-tsc-uht

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

scantailor

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

wavelets

Torrence & Compo Wavelet Analysis Software