1132 Open source projects that are alternatives of or similar to GDLibrary

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.

Regression, Scrapers, and Visualization

Information Retrieval in High Dimensional Data (class deliverables)

文本分类基准测试

Code for Tensorflow Machine Learning Cookbook

🏭 JavaScript Machine Learning Toolkit

TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。

MATLAB implementations of a variety of nonlinear programming algorithms.

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

subsemble R package for ensemble learning on subsets of data

Python library for Bayesian hyper-parameters optimization

Java version of LIBLINEAR

Toy implementations of some popular ML optimizers using Python/JAX

BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

Neural Networks in Java 8 with CuDNN and Aparapi

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow)

Reinforcement learning with A* and a deep heuristic

A Python package to build predictive linear and logistic regression models focused on performance and interpretation

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

Variational Bayes linear and logistic regression

Bare bone examples of machine learning in TensorFlow

机器学习-Coursera-吴恩达- python+Matlab代码实现

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Python implementation of Andrew Ng's ML course projects

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

📈 Regression and Classification with UC Davis student quiz data and exam data

Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.

No description or website provided.

Lesson material on data science and machine learning topics/concepts

Korpuslinguistik war noch nie so einfach...

RECSM-UPF Summer School: Social Media and Big Data Research

End-to-end spoken language identification out of the box.

🍭 Badge generator with color gradient support

PyTorch implementations of recent optimization algorithms for deep learning.

Information Inference Service of the OpenAIRE system

No description or website provided.

15+ Machine/Deep Learning Projects in Ipython Notebooks

Quick-Data-Science-Experiments

A curated list of big data engineering tools, resources and communities.

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

Simplified ETL process in Hadoop using Apache Spark. Has complete ETL pipeline for datalake. SparkSession extensions, DataFrame validation, Column extensions, SQL functions, and DataFrame transformations

Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto

LIBSVM bindings for Julia

curated list of awesome tools and libraries for specific domains

High-scalability analytics database built on immutable merkle-trees

Implementing Clustering Algorithms from scratch in MATLAB and Python

Java 程序员进阶学习的思维导图

Sample Code Collection of Nature-Inspired Computational Methods

PredictionIO E-Commerce Recommendation Engine Template (Scala-based parallelized engine)

A SciPy compatible super fast Python implementation for Particle Swarm Optimization.

The metrics layer for your data. Join us at https://metriql.com/slack

Machine Learning algorithms coded from scratch

Open and collaborative content from leet hackers!

Making your benchmark of optimization algorithms simple and open

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.

A list of popular deep learning models related to classification, segmentation and detection problems

The Distributed Computing library for python implemented using PyCOMPSs programming model for HPC.