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
Napari sklearn decomposition
napari-sklearn-decomposition A simple plugin to use with napari This napari plug
1 Sep 01, 2022
Decision Tree Regression algorithm implemented on Python from scratch.
Decision_Tree_Regression I implemented the decision tree regression algorithm on Python. Unlike regular linear regression, this algorithm is used when
1 Dec 22, 2021
Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.
GENDIS GENetic DIscovery of Shapelets In the time series classification domain, shapelets are small subseries that are discriminative for a certain cl
90 Oct 28, 2022
nn-Meter is a novel and efficient system to accurately predict the inference latency of DNN models on diverse edge devices
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
241 Dec 26, 2022
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
python-is-cool A gentle guide to the Python features that I didn't know existed or was too afraid to use. This will be updated as I learn more and bec
3.3k Jan 05, 2023
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
5.7k Dec 30, 2022
Regularization and Feature Selection in Least Squares Temporal Difference Learning
Regularization and Feature Selection in Least Squares Temporal Difference Learning Description This is Python implementations of Least Angle Regressio
0 Jan 18, 2022
Short PhD seminar on Machine Learning Security (Adversarial Machine Learning)
Short PhD seminar on Machine Learning Security (Adversarial Machine Learning)
141 Dec 27, 2022
A game theoretic approach to explain the output of any machine learning model.
SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allo
18.2k Jan 02, 2023
Toolss - Automatic installer of hacking tools (ONLY FOR TERMUKS!)
Tools Автоматический установщик хакерских утилит (ТОЛЬКО ДЛЯ ТЕРМУКС!) Оригиналь
14 Jan 05, 2023
A repository to work on Machine Learning course. Select an algorithm to classify writer's gender, of Hebrew texts.
MachineLearning A repository to work on Machine Learning course. Select an algorithm to classify writer's gender, of Hebrew texts. Tested algorithms:
1 Feb 01, 2022
BASTA: The BAyesian STellar Algorithm
BASTA: BAyesian STellar Algorithm Current stable version: v1.0 Important note: BASTA is developed for Python 3.8, but Python 3.7 should work as well.
16 Nov 15, 2022
Automated Time Series Forecasting
AutoTS AutoTS is a time series package for Python designed for rapidly deploying high-accuracy forecasts at scale. There are dozens of forecasting mod
652 Jan 03, 2023
The project's goal is to show a real world application of image segmentation using k means algorithm
The project's goal is to show a real world application of image segmentation using k means algorithm
2 Jan 22, 2022
MBTR is a python package for multivariate boosted tree regressors trained in parameter space.
MBTR is a python package for multivariate boosted tree regressors trained in parameter space.
61 Dec 19, 2022
💀mummify: a version control tool for machine learning
mummify is a version control tool for machine learning. It's simple, fast, and designed for model prototyping.
43 Jul 09, 2022
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
AI Fairness 360 (AIF360) The AI Fairness 360 toolkit is an extensible open-source library containg techniques developed by the research community to h
1.9k Jan 06, 2023
Time Series Prediction with tf.contrib.timeseries
TensorFlow-Time-Series-Examples Additional examples for TensorFlow Time Series(TFTS). Read a Time Series with TFTS From a Numpy Array: See "test_input
476 Nov 17, 2022
Predicting Keystrokes using an Audio Side-Channel Attack and Machine Learning
Predicting Keystrokes using an Audio Side-Channel Attack and Machine Learning My
3 Apr 10, 2022
A Software Framework for Neuromorphic Computing
A Software Framework for Neuromorphic Computing
338 Dec 26, 2022