Displaying 1 to 20 from 21 results

caffe2 - Caffe2 is a lightweight, modular, and scalable deep learning framework.

  •    C++

Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind.

polyaxon - An open source platform for reproducible machine learning and deep learning on kubernetes

  •    Python

Welcome to Polyaxon, a platform for building, training, and monitoring large scale deep learning applications. Polyaxon deploys into any data center, cloud provider, or can be hosted and managed by Polyaxon, and it supports all the major deep learning frameworks such as Tensorflow, MXNet, Caffe, Torch, etc.

TransmogrifAI - TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning

  •    Scala

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library written in Scala that runs on top of Spark. It was developed with a focus on accelerating machine learning developer productivity through machine learning automation, and an API that enforces compile-time type-safety, modularity, and reuse. Through automation, it achieves accuracies close to hand-tuned models with almost 100x reduction in time. Skip to Quick Start and Documentation.

caffe2 - Caffe2 is a lightweight, modular, and scalable deep learning framework.

  •    Shell

Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind.




guess - Libraries & tools for enabling Machine Learning driven user-experiences on the web

  •    TypeScript

Libraries and tools for enabling data-driven user-experiences on the web. Install and configure GuessPlugin - the Guess.js webpack plugin which automates as much of the setup process for you as possible.

node-tensorflow - Node.js + TensorFlow

  •    Javascript

TensorFlow is Google's machine learning runtime. It is implemented as C++ runtime, along with Python framework to support building a variety of models, especially neural networks for deep learning. It is interesting to be able to use TensorFlow in a node.js application using just JavaScript (or TypeScript if that's your preference). However, the Python functionality is vast (several ops, estimator implementations etc.) and continually expanding. Instead, it would be more practical to consider building Graphs and training models in Python, and then consuming those for runtime use-cases (like prediction or inference) in a pure node.js and Python-free deployment. This is what this node module enables.

pycm - Multi-class confusion matrix library in Python

  •    Python

PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most classes and overall statistics parameters. PyCM is the swiss-army knife of confusion matrices, targeted mainly at data scientists that need a broad array of metrics for predictive models and an accurate evaluation of large variety of classifiers. threshold is added in version 0.9 for real value prediction.


differentiable-plasticity - Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs

  •    Python

This repo contains implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs. We strongly recommend studying the simple/simplest.py program first, as it is deliberately kept as simple as possible while showing full-fledged differentiable plasticity learning.

machine-learning-with-js - Machine Learning with JavaScript. Fast and Simple. :rocket:

  •    Javascript

You don't need Python to train your own models and perform Machine Learning. This repository is linked to a series I have been writing about on Medium.com, regarding ML in JS.

fastocloud - IPTV/Video cloud

  •    C++

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License version 3 as published by the Free Software Foundation. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

DataScienceVM - Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

  •    HTML

The Data Science Virtual Machine (DSVM) is a customized VM image on Microsoft’s Azure cloud built specifically for doing data science. It has many popular data science and other tools pre-installed and pre-configured to jump-start building intelligent applications for advanced analytics. It is available on Windows Server 2016, Windows Server 2012, and on Linux. We offer Linux edition of the DSVM in either Ubuntu 16.04 LTS or on OpenLogic 7.2 CentOS-based Linux distributions. You can try the Data Science VM for free for 30 days (with $200 credits) with a free Azure Trial. The Linux (Ubuntu-based) DSVM also provides a test drive through a button on the product page. The Test Drive will provide full access to you own instance of the VM with just a free Microsoft account (No Azure subscription or CC needed).On this repo, we will feature tools, tips and extensions (see below) to the Data Science VM. We invite the DSVM user community to contribute any useful tools or scripts, extensions you may have written to enhance the user experience on the DSVM.

lda - LDA topic modeling for node.js

  •    Javascript

Latent Dirichlet allocation (LDA) topic modeling in javascript for node.js. LDA is a machine learning algorithm that extracts topics and their related keywords from a collection of documents. In LDA, a document may contain several different topics, each with their own related terms. The algorithm uses a probabilistic model for detecting the number of topics specified and extracting their related keywords. For example, a document may contain topics that could be classified as beach-related and weather-related. The beach topic may contain related words, such as sand, ocean, and water. Similarly, the weather topic may contain related words, such as sun, temperature, and clouds.

FfDL - Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc

  •    Go

An existing Kubernetes cluster (e.g., Minikube for local testing). Once installed, use the command make minikube to start Minikube and set up local network routes. Alternatively, use the Vagrant based setup to automatically install a local Kubernetes cluster.

clustering.js - Clustering algorithms implemented in Javascript for Node.js and the browser

  •    Javascript

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

q-learning-simple-game

  •    Ruby

This example will show how we can teach an AI to play a simple game using the Q-learning reinforcement learning algorithm. This is implemented in pure Ruby without any external dependencies.

ai6 - Artificial Intelligence Library (based on Scientific Computing Library j6)

  •    Javascript

AI6 is a collection of algorithm for Optimization, Machine-Learning, Neural-Network. AI6 based on Scientific Computing Library j6 .

memento-app - Android App which serves as an AI assistant for human memory

  •    Java

Created a Android App which serves as an AI assistant for human memory. This app was the winner of Microsoft code.fun.do 2017 at IIT (BHU) Varanasi and participated in code.fun.do SHOWCASE.

aws-ai-ml-workshop-kr - A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs

  •    Jupyter

A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs. This repository assumes you have your own AWS account and wish to test SageMaker. If you don't have an AWS account, please follow the below instruction.