1320 Open source projects that are alternatives of or similar to Tiny_ml

🍊 📊 💡 Orange: Interactive data analysis

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

This repository consists of all my Machine Learning Projects.

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

A Julia machine learning framework

机器学习与深度学习算法示例

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

All Algorithms implemented in R

An open-source, low-code machine learning library in Python

Statistical Machine Intelligence & Learning Engine

Machine Learning in R

Tribuo - A Java machine learning library

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

A high-level machine learning and deep learning library for the PHP language.

Simple machine learning library / 簡單易用的機器學習套件

Code for Tensorflow Machine Learning Cookbook

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

Artificial Neural Networks for Scala

新浪微博情感分析应用

Artificial Neural Network

A Tool for Automatic Analysis of Malware Behavior

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Curated Tensorflow code resources to help you get started with Deep Learning.

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

mlr3: Machine Learning in R - next generation

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

A simple movie recommendation engine

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

A scikit-learn based module for multi-label et. al. classification

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Minimalistic Multiple Layer Neural Network from Scratch in Python.

⚡️⚡️⚡️《机器学习实战》代码（基于Python3）🚀

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

Examples use case of PHP-ML library.

Various methods for generating synthetic data for data science and ML

🤖 A portable, header-only, artificial neural network library written in C99

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

An Interactive Approach to Understanding Deep Learning with Keras

🏭 JavaScript Machine Learning Toolkit

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类

PHP-ML - Machine Learning library for PHP

Machine Learning & Data Mining with JRuby

A collection of tools for chemometrics and machine learning written in Julia.

A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

MLBox is a powerful Automated Machine Learning python library.

Telegram Data Clustering contest solution by Mindful Squirrel

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

R package to interface with OpenML

Yet another neural network library

Measure and visualize machine learning model performance without the usual boilerplate.

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing

《深度学习与计算机视觉》配套代码

ThunderSVM: A Fast SVM Library on GPUs and CPUs

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.