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
The Emergence of Individuality
The Emergence of Individuality
16 Jul 20, 2022
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
Petastorm Contents Petastorm Installation Generating a dataset Plain Python API Tensorflow API Pytorch API Spark Dataset Converter API Analyzing petas
1.6k Dec 31, 2022
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective. 10x Larger Models 10x Faster Trainin
8.4k Dec 30, 2022
learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your personal portfolio
learn python in 100 days, a simple step could be follow from beginner to master of every aspect of python programming and project also include side project which you can use as demo project for your
6 Nov 05, 2022
Module for statistical learning, with a particular emphasis on time-dependent modelling
Operating system Build Status Linux/Mac Windows tick tick is a Python 3 module for statistical learning, with a particular emphasis on time-dependent
410 Dec 14, 2022
Factorization machines in python
Factorization Machines in Python This is a python implementation of Factorization Machines [1]. This uses stochastic gradient descent with adaptive re
892 Jan 03, 2023
Kalman filter library
The kalman filter framework described here is an incredibly powerful tool for any optimization problem, but particularly for visual odometry, sensor fusion localization or SLAM.
276 Jan 01, 2023
Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information.
Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information.
7 Nov 09, 2022
Houseprices - Predict sales prices and practice feature engineering, RFs, and gradient boosting
House Prices - Advanced Regression Techniques Predicting House Prices with Machine Learning This project is build to enhance my knowledge about machin
1 Jan 01, 2022
Machine Learning Model to predict the payment date of an invoice when it gets created in the system.
Payment-Date-Prediction Machine Learning Model to predict the payment date of an invoice when it gets created in the system.
15 Sep 09, 2022
Machine Learning e Data Science com Python
Machine Learning e Data Science com Python Arquivos do curso de Data Science e Machine Learning com Python na Udemy, cliqe aqui para acessá-lo. O prin
1 Jan 27, 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
Reggy - Regressions with arbitrarily complex regularization terms
reggy Regressions with arbitrarily complex regularization terms. Currently suppo
1 Jan 20, 2022
OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
OptaPy is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference S
208 Dec 27, 2022
Laporan Proyek Machine Learning - Azhar Rizki Zulma
Laporan Proyek Machine Learning - Azhar Rizki Zulma Project Overview Domain proyek yang dipilih dalam proyek machine learning ini adalah mengenai hibu
6 Mar 12, 2022
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
DoWhy | An end-to-end library for causal inference Amit Sharma, Emre Kiciman Introducing DoWhy and the 4 steps of causal inference | Microsoft Researc
5.6k Jan 07, 2023
This jupyter notebook project was completed by me and my friend using the dataset from Kaggle
ARM This jupyter notebook project was completed by me and my friend using the dataset from Kaggle. The world Happiness 2017, which ranks 155 countries
1 Jan 23, 2022
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...
318 Jan 02, 2023
MosaicML Composer contains a library of methods, and ways to compose them together for more efficient ML training
MosaicML Composer MosaicML Composer contains a library of methods, and ways to compose them together for more efficient ML training. We aim to ease th
2.8k Jan 06, 2023
scikit-learn is a python module for machine learning built on top of numpy / scipy
About scikit-learn is a python module for machine learning built on top of numpy / scipy. The purpose of the scikit-learn-tutorial subproject is to le
122 Dec 12, 2022