Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

awesome-advanced-metering-infrastructure

AMI Solution | Curated list of awesome advanced metering infrastructure code development
https://github.com/Ami-Solution/awesome-advanced-metering-infrastructure

Last synced: 2 days ago
JSON representation

  • APL

    • Tools

      • naive-apl - Naive Bayesian Classifier implementation in APL.

  • C

    • Tools

      • ModBus - sdm120c ModBus Mini Smart Meter EASTRON
      • M-bus Library - M-bus Library from Raditex Control; Meter-bus library and utility programs
      • Lonworks - Lonworks(R)/IP; iLon SOAP to IEEE1888 Gateway
      • Darknet - Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
      • Recommender - A C library for product recommendations/suggestions using collaborative filtering (CF).
      • Hybrid Recommender System - A hybrid recommender system based upon scikit-learn algorithms.
      • neonrvm - neonrvm is an open source machine learning library based on RVM technique. It's written in C programming language and comes with Python programming language bindings.
      • CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library.
      • VLFeat - VLFeat is an open and portable library of computer vision algorithms, which has Matlab toolbox.

  • Lua

  • Python

    • General-Purpose Machine Learning

      • A gallery of interesting IPython notebooks
      • Practical XGBoost in Python - comprehensive online course about using XGBoost in Python.
      • astroML - Machine Learning and Data Mining for Astronomy.
      • cerebro2 - based visualization and debugging platform for NuPIC.
      • Seaborn - A python visualization library based on matplotlib.
      • SimpleCV - An open source computer vision framework that gives access to several high-powered computer vision libraries, such as OpenCV. Written on Python and runs on Mac, Windows, and Ubuntu Linux.
      • Pattern - A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
      • mrjob - A library to let Python program run on Hadoop.
      • Edward - A library for probabilistic modeling, inference, and criticism. Built on top of TensorFlow.
      • Numba - Python JIT (just in time) compiler to LLVM aimed at scientific Python by the developers of Cython and NumPy.
      • Pandas - A library providing high-performance, easy-to-use data structures and data analysis tools.
      • PyDy - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.
      • hourly power consumption forecasting assumptions - > source code and [dataset](https://www.kaggle.com/robikscube/tutorial-time-series-forecasting-with-prophet/data) for [Hourly Energy Consumption in megawatts](https://www.kaggle.com/robikscube/hourly-energy-consumption).
      • Optunity - A library dedicated to automated hyperparameter optimization with a simple, lightweight API to facilitate drop-in replacement of grid search.
      • deap - Evolutionary algorithm framework.
      • rgf_python - Python bindings for Regularized Greedy Forest (Tree) Library.
      • Netron - Visualizer for machine learning models.

  • C++

    • Speech Recognition

      • DLib - DLib has C++ and Python interfaces for face detection and training general object detectors.
      • Distributed Machine learning Tool Kit (DMTK) - A distributed machine learning (parameter server) framework by Microsoft. Enables training models on large data sets across multiple machines. Current tools bundled with it include: LightLDA and Distributed (Multisense) Word Embedding.
      • DLib - A suite of ML tools designed to be easy to imbed in other applications.
      • encog-cpp
      • libfm - A generic approach that allows to mimic most factorization models by feature engineering.
      • PyCUDA - Python interface to CUDA
      • shark - A fast, modular, feature-rich open-source C++ machine learning library.
      • sofia-ml - Suite of fast incremental algorithms.
      • CRFsuite - CRFsuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data.

  • Clojure

    • Speech Recognition

      • Incanter - Incanter is a Clojure-based, R-like platform for statistical computing and graphics.

  • Erlang

    • Speech Recognition

      • Yanni - ANN neural networks using Erlangs leightweight processes.

  • Go

    • Speech Recognition

      • go-ml-transpiler - An open source Go transpiler for machine learning models.
      • SVGo - The Go Language library for SVG generation.
      • SVGo - The Go Language library for SVG generation.
      • paicehusk - Golang implementation of the Paice/Husk Stemming Algorithm.

  • Haskell

    • Speech Recognition

      • hnn - Haskell Neural Network library.

  • Java

    • Speech Recognition

      • IRIS - [Cortical.io's](http://cortical.io) FREE NLP, Retina API Analysis Tool (written in JavaFX!) - [See the Tutorial Video](https://www.youtube.com/watch?v=CsF4pd7fGF0).
      • Stanford Topic Modeling Toolbox - Topic modeling tools to social scientists and others who wish to perform analysis on datasets.
      • OpenNLP - a machine learning based toolkit for the processing of natural language text.
      • ClearTK - ClearTK provides a framework for developing statistical natural language processing (NLP) components in Java and is built on top of Apache UIMA.
      • AMIDST Toolbox - A Java Toolbox for Scalable Probabilistic Machine Learning.
      • ELKI - Java toolkit for data mining. (unsupervised: clustering, outlier detection etc.)
      • FlinkML in Apache Flink - Distributed machine learning library in Flink.
      • RankLib - RankLib is a library of learning to rank algorithms.
      • WalnutiQ - object oriented model of the human brain.
      • Weka - Weka is a collection of machine learning algorithms for data mining tasks.
      • Weka - Weka is a collection of machine learning algorithms for data mining tasks.
      • Storm - Storm is a distributed realtime computation system.
      • ORYX - Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
      • Dr. Michael Thomas Flanagan's Java Scientific Library
      • DataMelt - Mathematics software for numeric computation, statistics, symbolic calculations, data analysis and data visualization.

  • Javascript

    • Speech Recognition

      • smart-meter-data-catalog - Smart Meter related datasets (and code repositories that use these datasets)
      • Twitter-text - A JavaScript implementation of Twitter's text processing library.
      • D3.js
      • dimple
      • amCharts
      • Datamaps - Customizable SVG map/geo visualizations using D3.js.
      • ZingChart - library written on Vanilla JS for big data visualization.
      • Learn JS Data
      • Convnet.js - ConvNetJS is a Javascript library for training Deep Learning models[DEEP LEARNING]
      • figue - K-means, fuzzy c-means and agglomerative clustering.
      • TensorFlow.js - A WebGL accelerated, browser based JavaScript library for training and deploying ML models.

  • Matlab

    • Speech Recognition

      • Contourlets - MATLAB source code that implements the contourlet transform and its utility functions.
      • Curvelets - The Curvelet transform is a higher dimensional generalization of the Wavelet transform designed to represent images at different scales and different angles.
      • Bandlets - MATLAB code for bandlet transform.
      • Convolutional-Recursive Deep Learning for 3D Object Classification - Convolutional-Recursive Deep Learning for 3D Object Classification[DEEP LEARNING].
      • t-Distributed Stochastic Neighbor Embedding - t-Distributed Stochastic Neighbor Embedding (t-SNE) is a (prize-winning) technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets.
      • Spider - The spider is intended to be a complete object orientated environment for machine learning in Matlab.
      • matlab_gbl - MatlabBGL is a Matlab package for working with graphs.
      • Shearlets - MATLAB code for shearlet transform.

  • .NET

    • Speech Recognition

      • OpenCVDotNet - A wrapper for the OpenCV project to be used with .NET applications.
      • Emgu CV - Cross platform wrapper of OpenCV which can be compiled in Mono to be run on Windows, Linus, Mac OS X, iOS, and Android.
      • Accord-Framework - The Accord.NET Framework is a complete framework for building machine learning, computer vision, computer audition, signal processing and statistical applications.
      • Infer.NET - Infer.NET is a framework for running Bayesian inference in graphical models. One can use Infer.NET to solve many different kinds of machine learning problems, from standard problems like classification, recommendation or clustering through to customised solutions to domain-specific problems. Infer.NET has been used in a wide variety of domains including information retrieval, bioinformatics, epidemiology, vision, and many others.
      • Neural Network Designer - DBMS management system and designer for neural networks. The designer application is developed using WPF, and is a user interface which allows you to design your neural network, query the network, create and configure chat bots that are capable of asking questions and learning from your feed back. The chat bots can even scrape the internet for information to return in their output as well as to use for learning.
      • Sho - Sho is an interactive environment for data analysis and scientific computing that lets you seamlessly connect scripts (in IronPython) with compiled code (in .NET) to enable fast and flexible prototyping. The environment includes powerful and efficient libraries for linear algebra as well as data visualization that can be used from any .NET language, as well as a feature-rich interactive shell for rapid development.
      • Accord.MachineLearning - Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.

  • Perl

  • PHP

    • General-Purpose Machine Learning

      • PHP-ML - Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.

  • Ruby

    • General-Purpose Machine Learning

  • Tools

  • Perl 6

Programming Languages
C 7 Ruby 2 Python 2 JavaScript 1 C++ 1 Java 1 HTML 1 Lua 1 APL 1
Categories
Python 17 Java 15 Javascript 11 C++ 9 C 9 Matlab 8 Lua 8 .NET 7 Ruby 5 Go 4 Perl 4 Clojure 1 Perl 6 1 Erlang 1 Haskell 1 PHP 1 APL 1 Tools 1
Sub Categories
Speech Recognition 65 General-Purpose Machine Learning 28 Tools 10 Data Analysis / Data Visualization 1
Keywords
machine-learning 8 ruby 3 ml 3 java 2 awesome 2 awesome-list 2 list 2 c 2 bayesian 2 rubynlp 2 rubyml 2 nlp 1 natural-language-processing 1 pos-tag 1 computational-linguistics 1 unicode 1 twitter-text 1 twitter 1 tweet 1 objective-c 1 nodejs 1 emoji 1 sparse 1 rvm 1 relevance-vector-machine 1 regression 1 python 1 bindings 1 recommendation-engine 1 collaborative-filtering 1 bayes-classifier 1 api 1 visualizer 1 tensorflow-lite 1 tensorflow 1 pytorch 1 paddle 1 onnx 1 neural-network 1 machinelearning 1 keras 1 deeplearning 1 deep-learning 1 darknet 1 coreml 1 caffe 1 ai 1 rgf 1 regularized-greedy-forest 1 kaggle 1