Machine Learning Algorithms ( Desion Tree, XG Boost, Random Forest ) required packages: numpy,pandas,sklearn,xgboost
Ant Colony On TSP
Genetic Algorithm on TSP
Sample run in jetbrains Pycharm
Blckjack game
Robot in gridworld
Machine Learning Algorithms ( Desion Tree, XG Boost, Random Forest )
Overview
Price forecasting of SGB and IRFC Bonds and comparing there returns
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Lightning ⚡️ fast forecasting with statistical and econometric models.
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Provide an input CSV and a target field to predict, generate a model + code to run it.
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Winning solution for the Galaxy Challenge on Kaggle
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ParaMonte is a serial/parallel library of Monte Carlo routines for sampling mathematical objective functions of arbitrary-dimensions
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Sleep stages are classified with the help of ML. We have used 4 different ML algorithms (SVM, KNN, RF, NN) to demonstrate them
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The Fuzzy Labs guide to the universe of open source MLOps
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Sequence learning toolkit for Python
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Relevance Vector Machine implementation using the scikit-learn API.
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Machine Learning approach for quantifying detector distortion fields
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AtsPy: Automated Time Series Models in Python (by @firmai)
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A simple machine learning package to cluster keywords in higher-level groups.
Simple Keyword Clusterer A simple machine learning package to cluster keywords in higher-level groups. Example: "Senior Frontend Engineer" -- "Fronte
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WAGMA-SGD is a decentralized asynchronous SGD for distributed deep learning training based on model averaging.
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MLFlow in a Dockercontainer based on Azurite and Postgres
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机器学习检测webshell
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56 Dec 14, 2022
Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
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An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
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Kaggle Competition using 15 numerical predictors to predict a continuous outcome.
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A toolbox to iNNvestigate neural networks' predictions!
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