All Projects → b4silio → MLDemos

b4silio / MLDemos

Licence: other
Machine Learning Demonstrations: A graphical interface to draw data, apply a diverse array of machine learning tools to it, and directly see the results in a visual and understandable manner.

Programming Languages

C++
36643 projects - #6 most used programming language
HTML
75241 projects
QMake
1090 projects
c
50402 projects - #5 most used programming language
GLSL
2045 projects
shell
77523 projects
ocaml
1615 projects

Projects that are alternatives of or similar to MLDemos

pycobra
python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
Stars: ✭ 111 (+141.3%)
Mutual labels:  machine-learning-algorithms, visualisation
deep-blueberry
If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
Stars: ✭ 17 (-63.04%)
Mutual labels:  machine-learning-algorithms
Machine-Learning
Machine Learning from scratch.
Stars: ✭ 25 (-45.65%)
Mutual labels:  machine-learning-algorithms
scikit-learn-intelex
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Stars: ✭ 887 (+1828.26%)
Mutual labels:  machine-learning-algorithms
osdg-tool
OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.
Stars: ✭ 22 (-52.17%)
Mutual labels:  machine-learning-algorithms
lolo
A random forest
Stars: ✭ 37 (-19.57%)
Mutual labels:  machine-learning-algorithms
100DaysOfMLCode
No description or website provided.
Stars: ✭ 19 (-58.7%)
Mutual labels:  machine-learning-algorithms
OLSTEC
OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
Stars: ✭ 30 (-34.78%)
Mutual labels:  machine-learning-algorithms
Statistical-Learning-using-R
This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
Stars: ✭ 27 (-41.3%)
Mutual labels:  machine-learning-algorithms
machine-learning-templates
Template codes and examples for Python machine learning concepts
Stars: ✭ 40 (-13.04%)
Mutual labels:  machine-learning-algorithms
Time-Series-Analysis-and-Forecasting-with-Python
No description or website provided.
Stars: ✭ 24 (-47.83%)
Mutual labels:  machine-learning-algorithms
python-tsp-simulated-annealing
Visualisation of Simulated Annealing algorithm to solve TSP
Stars: ✭ 41 (-10.87%)
Mutual labels:  visualisation
densratio py
A Python Package for Density Ratio Estimation
Stars: ✭ 112 (+143.48%)
Mutual labels:  machine-learning-algorithms
PaperWeeklyAI
📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.
Stars: ✭ 50 (+8.7%)
Mutual labels:  machine-learning-algorithms
ml course
"Learning Machine Learning" Course, Bogotá, Colombia 2019 #LML2019
Stars: ✭ 22 (-52.17%)
Mutual labels:  machine-learning-algorithms
leaflet-velocity
Visualise velocity data on a leaflet layer
Stars: ✭ 467 (+915.22%)
Mutual labels:  visualisation
data sciences campaign
【数据科学家系列课程】
Stars: ✭ 91 (+97.83%)
Mutual labels:  machine-learning-algorithms
Heart disease prediction
Heart Disease prediction using 5 algorithms
Stars: ✭ 43 (-6.52%)
Mutual labels:  machine-learning-algorithms
rankpruning
🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
Stars: ✭ 81 (+76.09%)
Mutual labels:  machine-learning-algorithms
COVID breakdown
COVID-19 statistics in Taiwan
Stars: ✭ 15 (-67.39%)
Mutual labels:  visualisation

MLDemos

MLDemos is an open-source visualization tool for machine learning algorithms created to help studying and understanding how several algorithms function and how their parameters affect and modify the results in problems of classification, regression, clustering, dimensionality reduction, dynamical systems and reward maximization.

MLDemos is open-source and free for personal and academic use.

## Some History

Started in 2010 by Dr. Basilio Noris at the Learning Algorithms and Systems Laboratory, the development of this program has been aided, supported and sponsored by the following entities, organizations, and groups:

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].