2025 Open source projects that are alternatives of or similar to Qlik Py Tools

Artificial Learning, Intelligent Machines

Introduction to Statistical Learning with R을 Python으로

Datasets, tools, and benchmarks for representation learning of code.

A clojure/clojurescript notebook application/-library based on Gorilla-REPL

Add a GDPR-friendly Google Analytics opt-in/opt-out button to your site

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

This repository contains code and bonus content which will be added from time to time for the book "Learning Social Media Analytics with R" by Packt

📜 Self-Supervised Learning from Images: Up-to-date reading list.

Self-knowledge through numbers

Allstate Kaggle Competition ML Capstone Project

A searchable compilation of Kaggle past solutions

Deploy a ML inference service on a budget in less than 10 lines of code.

Blockchain2graph extracts blockchain data (bitcoin) and insert them into a graph database (neo4j).

A collection of Machine Learning algorithms written from sctrach.

An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

A collection of recipes and other resources for building containers that include SAS Viya software.

Accelerate data science

IoT workshop based on ESP8266, a DHT11/22 and neopixel RGB LED

Nyoka is a Python library to export ML/DL models into PMML (PMML 4.4.1 Standard).

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

Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.

Express parametrable, composable and portable data pipelines

Python机器学习，机器学习入门首选。

Teaching materials in python at the @ENSAE

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

A suite of classification clustering algorithm implementations for Java. A number of partitional, hierarchical and density-based algorithms including DBSCAN, k-Means, k-Medoids, MeanShift, Affinity Propagation, HDBSCAN and more.

Tool for reading and writing datasets of tensors in a Lightning Memory-Mapped Database (LMDB). Designed to manage machine learning datasets with fast reading speeds.

A modular active learning framework for Python

[DEPRECATED] Unofficial Carthage support for Firebase libraries

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

🐎 A simple UI for InfluxDB

A visualisation tool for the creation and analysis of graphs

Real Intelligence Threat Analytics (RITA) is a framework for detecting command and control communication through network traffic analysis.

Golang library for reading and writing Microsoft Excel™ (XLSX) files.

Plot your data by Unicode characters

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

📊 Cube — Open-Source Analytics API for Building Data Apps

Easy Map Annotation Clustering 📍

Scalable stream processing platform for advanced realtime analytics on top of Kafka and Spark. LogIsland also supports MQTT and Kafka Streams (Flink being in the roadmap). The platform does complex event processing and is suitable for time series analysis. A large set of valuable ready to use processors, data sources and sinks are available.

Machine Learning & Data Mining with JRuby

PyTorch implementation of DEC (Deep Embedding Clustering)

Autocluster and Autoheal for EMQ X Broker

Node.js + ExpressJS + Joi + Typeorm + Typescript + JWT + ES2015 + Clustering + Tslint + Mocha + Chai

A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.

DiffusionKinetics open-source monorepo

Metric learning algorithms in Python

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

A tool for building feature stores.

My own front end web development set up, covering everything from operating system to analytics.

A Python implementation of Girvan-Newman algorithm

This project is meant to provide resources to users who want to access good LinkedIn posts which contains resources to learn any Technology, Design, Self-Branding, Motivation etc. You can visit project by:

Model Agnostics breakDown plots

📊 📋 Dashboards using YAML or JSON files

Jun 2020 scikit-learn sprint

Hazelcast IMDG Python Client

An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.

R package to access Adobe Analytics Reporting API v1.4

Material for the SciPy 2017 Cython tutorial