Displaying 1 to 10 from 10 results

limdu - Machine-learning for Node.js

  •    Javascript

Limdu is a machine-learning framework for Node.js. It supports multi-label classification, online learning, and real-time classification. Therefore, it is especially suited for natural language understanding in dialog systems and chat-bots.Limdu is in an "alpha" state - some parts are working (see this readme), but some parts are missing or not tested. Contributions are welcome.

river - 🌊 Online machine learning in Python

  •    Python

River is a Python library for online machine learning. It is the result of a merger between creme and scikit-multiflow. River's ambition is to be the go-to library for doing machine learning on streaming data. As a quick example, we'll train a logistic regression to classify the website phishing dataset. Here's a look at the first observation in the dataset.

Boost-Cookbook - Online examples from "Boost C++ Application Development Cookbook":

  •    C++

This repository contains all the code examples from the Boost C++ Application Development Cookbook, Second Edition (ISBN: 9781787282247), Packt Publishing, by Antony Polukhin. Compile and Run Examples Online.




SGDLibrary - MATLAB library for stochastic optimization algorithms: Version 1.0.17

  •    Terra

The SGDLibrary is a pure-MATLAB library of a collection of stochastic optimization algorithms. This solves an unconstrained minimization problem of the form, min f(x) = sum_i f_i(x). The SGDLibrary is also operable on GNU Octave (Free software compatible with many MATLAB scripts). Note that this SGDLibrary internally contains the GDLibrary.

exlskills - Central EXLskills application issue reporting and project tracking

  •    

This repo is for managing all EXLskills issues and projects, except for courses, that are managed by their respective collaborators in course-specific repositories. This repo doesn't store any code.


data_aggregation - This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"

  •    Python

This repository contains the code for the CVPR 2020 paper Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving. It is built on top of the COiLTRAiNE and CARLA 0.8.4 data-collector frameworks. This work explores the limitaions of DAgger for urban autonomous driving in terms of inability to capture critical states, generalize to new environments and susceptability to high variance. It proposes simple modifications to the DAgger algorithm by incorporating critical states and a replay buffer mechanism which helps the driving policy to progressively focus on the high uncertainty regions of its state distribution, thereby leading to better empirical performance.

reinforcement_learning_course_materials - Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University

  •    Jupyter

Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University. Source code for the entire course material is open and everyone is cordially invited to use it for self-learning (students) or to set up your own course (lecturers). We highly appreciate any feedback and input to the course material e.g.






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