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
A Python Module That Uses ANN To Predict A Stocks Price And Also Provides Accurate Technical Analysis With Many High Potential Implementations!
Stox A Module to predict the "close price" for the next day and give "technical analysis". It uses a Neural Network and the LSTM algorithm to predict
31 Dec 16, 2022
Continuously evaluated, functional, incremental, time-series forecasting
timemachines Autonomous, univariate, k-step ahead time-series forecasting functions assigned Elo ratings You can: Use some of the functionality of a s
343 Jan 04, 2023
LILLIE: Information Extraction and Database Integration Using Linguistics and Learning-Based Algorithms
LILLIE: Information Extraction and Database Integration Using Linguistics and Learning-Based Algorithms Based on the work by Smith et al. (2021) Query
5 Aug 06, 2022
End to End toy example of MLOps
churn_model MLOps Toy Example End to End You might find below links useful Connect VSCode to Git MLFlow Port Heroku App Project Organization ├── LICEN
6 Feb 06, 2022
Python Automated Machine Learning library for tabular data.
Simple but powerful Automated Machine Learning library for tabular data. It uses efficient in-memory SAP HANA algorithms to automate routine Data Scie
47 Dec 17, 2022
Combines MLflow with a database (PostgreSQL) and a reverse proxy (NGINX) into a multi-container Docker application
Combines MLflow with a database (PostgreSQL) and a reverse proxy (NGINX) into a multi-container Docker application (with docker-compose).
2 Dec 03, 2021
Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.
Linear Models Implementations of LinearRegression, LassoRegression and RidgeRegression with appropriate Regularizers and Optimizers. Linear Regression
1 Nov 22, 2021
A Python package for time series classification
pyts: a Python package for time series classification pyts is a Python package for time series classification. It aims to make time series classificat
1.4k Jan 01, 2023
FLAML is a lightweight Python library that finds accurate machine learning models automatically, efficiently and economically
FLAML - Fast and Lightweight AutoML
2.2k Jan 09, 2023
Open-Source CI/CD platform for ML teams. Deliver ML products, better & faster. ⚡️🧑🔧
Deliver ML products, better & faster Giskard is an Open-Source CI/CD platform for ML teams. Inspect ML models visually from your Python notebook 📗 Re
335 Jan 04, 2023
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
stability-selection - A scikit-learn compatible implementation of stability selection
stability-selection - A scikit-learn compatible implementation of stability selection stability-selection is a Python implementation of the stability
185 Dec 03, 2022
Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis.
Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis. It is distributed under the MIT License.
720 Dec 25, 2022
Tools for Optuna, MLflow and the integration of both.
HPOflow - Sphinx DOC Tools for Optuna, MLflow and the integration of both. Detailed documentation with examples can be found here: Sphinx DOC Table of
17 Nov 20, 2022
Napari sklearn decomposition
napari-sklearn-decomposition A simple plugin to use with napari This napari plug
1 Sep 01, 2022
PyTorch extensions for high performance and large scale training.
Description FairScale is a PyTorch extension library for high performance and large scale training on one or multiple machines/nodes. This library ext
2k Dec 28, 2022
CD) in machine learning projectsImplementing continuous integration & delivery (CI/CD) in machine learning projects
CML with cloud compute This repository contains a sample project using CML with Terraform (via the cml-runner function) to launch an AWS EC2 instance
19 Oct 03, 2022
Gaussian Process Optimization using GPy
End of maintenance for GPyOpt Dear GPyOpt community! We would like to acknowledge the obvious. The core team of GPyOpt has moved on, and over the past
847 Dec 19, 2022
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters
Somoclu Somoclu is a massively parallel implementation of self-organizing maps. It exploits multicore CPUs, it is able to rely on MPI for distributing
239 Nov 10, 2022
database for artificial intelligence/machine learning data
AIDB v0.0.1 database for artificial intelligence/machine learning data Overview aidb is a database designed for large dataset for machine learning pro
1 Oct 24, 2021