556 Open source projects that are alternatives of or similar to books-ML-and-DL

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

MATLAB library for non-negative matrix factorization (NMF): Version 1.8.1

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

This repository contains books from different topics and perfect enough to give developers a boost in understanding the concepts of Data Science and Artificial Intelligence(other topics are also included but main highlights are these two).

编程路上加油站！------【持续更新中...欢迎star,欢迎常回来看看......】【内容：编程/学习/阅读资源，开源项目,面试题,网站,书,博客,教程等等】

Heart Disease prediction using 5 algorithms

No description or website provided.

Plant Disease Identification Using Convulutional Neural Network

SALT (iccv2017) based Video Denoising Codes, Matlab implementation

A Libgen Fiction store plugin for Calibre

Clink is a library that provides APIs and infrastructure to facilitate the development of parallelizable feature engineering operators that can be used in both C++ and Java runtime.

Book: Gentle Introduction to Dependent Types with Idris

Just for learning android well.

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

Discover how every solution in some way related to the IoT needs a platform and how to create that platform. This book is about being agile and reducing time to market without breaking the bank. It is about designing something that you can scale incrementally without having to do a lot of rework and potentially disrupting your current state of t…

{,e}Book archive, focused on small grassroot archives, distributed search, support to different kind of objects

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.

Machine Learning algorithms coded from scratch

SC-Adagrad, SC-RMSProp and RMSProp algorithms for training deep networks proposed in

My main Machine Learning class

2020华为软件精英挑战赛

【非公式】AtCoderがもっと楽しくなるリンク集です。有志による非公式サービス・ツール・ライブラリ・記事などをまとめています。

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

No description or website provided.

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

A random forest

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

Useful links of different content related to AI, Computer Vision, and Robotics.

Social reading and reviewing, decentralized with ActivityPub

"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019

Template codes and examples for Python machine learning concepts

🔥 the go programming language go Demos， go语言例子 go语言圣经 练习题 go 语言书籍 bootstrap 练习 sql-mysql练习

【数据科学家系列课程】

Programming books

Notes from some books that I've read.

一个综合了豆瓣，goodreads综合评分的计算机书籍书单

OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.

The Tornado 🌪️ framework, designed and implemented for adaptive online learning and data stream mining in Python.

Machine Learning from scratch.

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

No description or website provided.

A comprehensive list of books on Software Architecture.

A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).

List of good programming books for beginners and professionals

A HMM-like linear-chain CRF, used Tensorflow API. 🐣

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现

Painless Docker book git repository.

A personal project to help me retain information from books

Source code to generate the "Hands-on Elixir & OTP: Cryptocurrency trading bot" book

Machine Learning Demonstrations: A graphical interface to draw data, apply a diverse array of machine learning tools to it, and directly see the results in a visual and understandable manner.

A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。

List of inspiring articles, blogs, tutorials and books. Tech stuff.

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

No description or website provided.

Some Pentesters, Security Researchers, Red Teamers which i learned from them a lot...

Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

Implementing Clustering Algorithms from scratch in MATLAB and Python