412 Repositories
Python random-forest-regression Libraries
House_prices_kaggle - 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
Pseudo-rng-app - whos needs science to make a random number when you have pseudoscience?
Pseudo-random numbers with pseudoscience rng is so complicated! Why cant we have a horoscopic, vibe-y way of calculating a random number? Why cant rng
Constrained Logistic Regression - How to apply specific constraints to logistic regression's coefficients
Constrained Logistic Regression Sample implementation of constructing a logistic regression with given ranges on each of the feature's coefficients (v
Word-Generator - Generates meaningful words from dictionary with given no. of letters and words.
Meaningful Word Generator Generates meaningful words from dictionary with given no. of letters and words. This might be useful for generating short li
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
Flask app to predict daily radiation from the time series of Solcast from Islamabad, Pakistan
Solar-radiation-ISB-MLOps - Flask app to predict daily radiation from the time series of Solcast from Islamabad, Pakistan.
City-seeds - A random generator of cultural characteristics intended to spark ideas and help draw threads
City Seeds This is a random generator of cultural characteristics intended to sp
Random-Word-Generator - Generates meaningful words from dictionary with given no. of letters and words.
Random Word Generator Generates meaningful words from dictionary with given no. of letters and words. This might be useful for generating short links
A minimal implementation of Gaussian process regression in PyTorch
pytorch-minimal-gaussian-process In search of truth, simplicity is needed. There exist heavy-weighted libraries, but as you know, we need to go bare b
Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
Semi-supervised Deep Kernel Learning This is the code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data
Posts word definitions on Twitter daily
Word Of The Day bot Post daily word definitions on social media. Twitter account: https://twitter.com/WordOfTheDay_B Introduction The goal of this pro
A Python Package for Convex Regression and Frontier Estimation
pyStoNED pyStoNED is a Python package that provides functions for estimating multivariate convex regression, convex quantile regression, convex expect
A timer for bird lovers, plays a random birdcall while displaying its image and info.
Birdcall Timer A timer for bird lovers. Siriema hatchling by Junior Peres Junior Background My partner needed a customizable timer for sitting and sta
Python script that analyses the given datasets and comes up with the best polynomial regression representation with the smallest polynomial degree possible
Python script that analyses the given datasets and comes up with the best polynomial regression representation with the smallest polynomial degree possible, to be the most reliable with the least complexity possible
Python scripts aim to use a Random Forest machine learning algorithm to predict the water affinity of Metal-Organic Frameworks
The following Python scripts aim to use a Random Forest machine learning algorithm to predict the water affinity of Metal-Organic Frameworks (MOFs). The training set is extracted from the Cambridge Structural Database and the CoRE_MOF 2019 dataset.
Repository for "Space-Time Correspondence as a Contrastive Random Walk" (NeurIPS 2020)
Space-Time Correspondence as a Contrastive Random Walk This is the repository for Space-Time Correspondence as a Contrastive Random Walk, published at
Using multiple API sources, create an app that allows users to filter through random locations based on their temperature range choices.
World_weather_analysis Overview Using multiple API sources, create an app that allows users to filter through random locations based on their temperat
Using Bayesian, KNN, Logistic Regression to classify spam and non-spam.
Make Sure the dataset file "spamData.mat" is in the folder spam\src Environment: Python --version = 3.7 Third Party: numpy, matplotlib, math, scipy
Data Model built using Logistic Regression Algorithm on Python.
Logistic-Regression Problem Statement: Your client is a retail banking institution. Term deposits are a major source of income for a bank. A term depo
Some random bot for Discord which was created just for fun (Made with Discord.py library)
Ghosty Previously known as 'secondthunder-py-bot' This is repository of some random bot for Discord which was created just for fun and for some educat
From "fixed RAnDom CRashes" to "[FIX] Fixed random crashes."
Clean Commit From fixed RAnDom CRashes to [FIX] Fixed random crashes. Clean commit helps you by auto-formating your commits to make your repos better
Random Geek Jokes REST API
Geek-Jokes A RESTful API to get random geek jokes written in Flask What is the Geek-Jokes-api? The Geek Jokes RESTful API lets you fetch a random geek
Generate Heroku-like random names to use in your python applications
HaikunatorPY Generate Heroku-like random names to use in your python applications. Installation pip install haikunator Usage Haikunator is pretty sim
Library to generate random strings from regular expressions.
Xeger Library to generate random strings from regular expressions. To install, type: pip install xeger To use, type: from xeger import Xeger
FauxFactory generates random data for your automated tests easily!
FauxFactory FauxFactory generates random data for your automated tests easily! There are times when you're writing tests for your application when you
Implemented four supervised learning Machine Learning algorithms
Implemented four supervised learning Machine Learning algorithms from an algorithmic family called Classification and Regression Trees (CARTs), details see README_Report.
⛓ marc is a small, but flexible Markov chain generator
About marc (markov chain) is a small, but flexible Markov chain generator. Usage marc is easy to use. To build a MarkovChain pass the object a sequenc
Random Programming Language Project
Crastle Random Programming Language Project Freedom of expression Are you a fan of curly brace languages? Then use curly braces! Not a fan of curly br
Random Password Generator With Python
Random_Password_Generator example output length
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
A Simple Telegram Bot That Can Generate Strong Password With Many Features Written In Python Using Pyrogram
Password-Generator-Bot A Simple Telegram Bot That Can Generate Strong Password With Many Features Written In Python Using Pyrogram Features Random Pas
PassLock is a medium-security password manager that encrypts passwords using Advanced Encryption Standards (AES)
A medium security python password manager that encrypt passwords using Advanced Encryption Standard (AES) PassLock is a password manager and password
Python API for HotBits random data generator
HotBits Python API Python API for HotBits random data generator. Description This project is random data generator. It uses is HotBits API web service
Touca SDK for Python
Touca SDK For Python Touca helps you understand the true impact of your day to day code changes on the behavior and performance of your overall softwa
Random Directed Acyclic Graph Generator
DAG_Generator Random Directed Acyclic Graph Generator verison1.0 简介 工作流通常由DAG(有向无环图)来定义,其中每个计算任务$T_i$由一个顶点(node,task,vertex)表示。同时,任务之间的每个数据或控制依赖性由一条加权
Python program that generates random user from API
RandomUserPy Author kirito sate #modules used requests, json, tkinter, PIL, urllib, io, install requests and PIL modules from pypi pip install Pillow
This is a GUI interface which can process forest fire detection, smoke detection and fire segmentation
This is a GUI interface which can process forest fire detection, smoke detection and fire segmentation. Yolov5 is used to detect fire and smoke and unet is used to segment fire.
Single Image Random Dot Stereogram for Tensorflow
TensorFlow-SIRDS Single Image Random Dot Stereogram for Tensorflow SIRDS is a means to present 3D data in a 2D image. It allows for scientific data di
Random Pasword Generator Sezar Crypto
Random_Pasword_Generator_Sezar_Crypto Simple Work Main design available in ana_sayfa.ui / ana_sayfa2.py Popup design available in popup.ui / anahtarp
A file-based quote bot written in Python
Let's Write a Python Quote Bot! This repository will get you started with building a quote bot in Python. It's meant to be used along with the Learnin
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation (ACM MM 2020)
Forest R-CNN: Large-Vocabulary Long-Tailed Object Detection and Instance Segmentation (ACM MM 2020) Official implementation of: Forest R-CNN: Large-Vo
DANet for Tabular data classification/ regression.
Deep Abstract Networks A pyTorch implementation for AAAI-2022 paper DANets: Deep Abstract Networks for Tabular Data Classification and Regression. Bri
Shuffle and add items from jellyfin to mpd (use in tandem with jellyfin-mopidy and mpd-mopidy). Similar to ncmpcpp's "Add random" feature..
jellyshuf Essentially implements ncmpcpp's add random feature (default hotkey: `) through a script which grabs info from jellyfin api itself. jellyfin
Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection
Why, hello there! This is the supporting notebook for the research paper — Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomal
Learning with Subset Stacking
Learning with Subset Stacking (LESS) LESS is a new supervised learning algorithm that is based on training many local estimators on subsets of a given
Mercer Gaussian Process (MGP) and Fourier Gaussian Process (FGP) Regression
Mercer Gaussian Process (MGP) and Fourier Gaussian Process (FGP) Regression We provide the code used in our paper "How Good are Low-Rank Approximation
codes for Self-paced Deep Regression Forests with Consideration on Ranking Fairness
Self-paced Deep Regression Forests with Consideration on Ranking Fairness This is official codes for paper Self-paced Deep Regression Forests with Con
Practice the use of the random library to get the user guess the result.
Guessing Game Practice the use of the random library to get the user guess the result. Additional description about the project and its features. Buil
Ml based project which uses regression technique to predict the price.
Price-Predictor Ml based project which uses regression technique to predict the price. I have used various regression models and finds the model with
Random dataframe and database table generator
Random database/dataframe generator Authored and maintained by Dr. Tirthajyoti Sarkar, Fremont, USA Introduction Often, beginners in SQL or data scien
Random Name and Slug Generator
Random Name and Slug Generator
The third home of the bare Programming Language (1st there's my heart, the forest came second and then there's Github :)
The third home of the bare Programming Language (1st there's my heart, the forest came second and then there's Github :)
a wrapper around pytest for executing tests to look for test flakiness and runtime regression
bubblewrap a wrapper around pytest for assessing flakiness and runtime regressions a cs implementations practice project How to Run: First, install de
Automatically replace ONNX's RandomNormal node with Constant node.
onnx-remove-random-normal This is a script to replace RandomNormal node with Constant node. Example Imagine that we have something ONNX model like the
A Discord bot to allow people to create lists of random characters, with limit reroll options.
Mugen Bot A small bot I made to practice python and allow people to publically select random characters on a discord server. Uses py-cord, as that is
Easy to use API Wrapper for somerandomapi.ml.
Overview somerandomapi is an API Wrapper for some-random-api.ml Examples Asynchronous from somerandomapi import Animal
DANet for Tabular data classification/ regression.
Deep Abstract Networks A PyTorch code implemented for the submission DANets: Deep Abstract Networks for Tabular Data Classification and Regression. Do
The best solution of the Weather Prediction track in the Yandex Shifts challenge
yandex-shifts-weather The repository contains information about my solution for the Weather Prediction track in the Yandex Shifts challenge https://re
SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning
SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning This repository is the official implementation of "SHRIMP: Sparser Random Featur
Random collage/montage generator with drop-shadow
Random Collage Example Usage These are the sample input files in $PWD for the below examples: 1.png 2.png 3.png 4.png 5.png 6.png 7.png 8.png 9.png 10
A file-based quote bot written in Python
Let's Write a Python Quote Bot! This repository will get you started with building a quote bot in Python. It's meant to be used along with the Learnin
Air Pollution Prediction System using Linear Regression and ANN
AirPollution Pollution Weather Prediction System: Smart Outdoor Pollution Monitoring and Prediction for Healthy Breathing and Living Publication Link:
[NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
Efficient Graph Similarity Computation - (EGSC) This repo contains the source code and dataset for our paper: Slow Learning and Fast Inference: Effici
ROMP: Monocular, One-stage, Regression of Multiple 3D People, ICCV21
Monocular, One-stage, Regression of Multiple 3D People ROMP, accepted by ICCV 2021, is a concise one-stage network for multi-person 3D mesh recovery f
A Python script which randomly chooses and prints a file from a directory.
___ ____ ____ _ __ ___ / _ \ | _ \ | _ \ ___ _ __ | '__| / _ \ | |_| || | | || | | | / _ \| '__| | | | __/ | _ || |_| || |_| || __
Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)
A simple API for working with University of California, Irvine (UCI) Machine Learning (ML) repository Table of Contents Introduction About Page of the
BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model
BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model
[NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation
Efficient Graph Similarity Computation - (EGSC) This repo contains the source code and dataset for our paper: Slow Learning and Fast Inference: Effici
Multiple Imputation with Random Forests in Python
miceforest: Fast, Memory Efficient Imputation with lightgbm Fast, memory efficient Multiple Imputation by Chained Equations (MICE) with lightgbm. The
Very useful and necessary functions that simplify working with data
Additional-function-for-pandas Very useful and necessary functions that simplify working with data random_fill_nan(module_name, nan) - Replaces all sp
This repository stores the code to reproduce the results published in "TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios"
TinyWeaklyIsolationForest This repository stores the code to reproduce the results published in "TiWS-iForest: Isolation Forest in Weakly Supervised a
Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks
LMMNN Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks This is the working dire
(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning
Realistic evaluation of transductive few-shot learning Introduction This repo contains the code for our NeurIPS 2021 submitted paper "Realistic evalua
Implementation of Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning
advantage-weighted-regression Implementation of Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning, by Peng et al. (
Predicting diabetes over a five year period using logistic regression and the Pima First-Nation dataset
Diabetes This script uses the Pima First Nations dataset to create a model to predict whether or not an individual will develop Diabetes Mellitus Type
Extracts random colours from an image
EXTRACT COLOURS This repo contains all the project files. Project Description A Program that extracts 10 random colours from an image and saves the rg
Generate random test credit card numbers for testing, validation and/or verification purposes.
Generate random test credit card numbers for testing, validation and/or verification purposes.
This program generate hashes from random salts
Hash Generator This program generate hashes from random salts. How to install Install this program using python 3 and pip: pip install . In the future
A logistic regression model for health insurance purchasing prediction
Logistic_Regression_Model A logistic regression model for health insurance purchasing prediction This code is using these packages, so please make sur
A linear regression model for house price prediction
Linear_Regression_Model A linear regression model for house price prediction. This code is using these packages, so please make sure your have install
Hidden-Fold Networks (HFN): Random Recurrent Residuals Using Sparse Supermasks
Hidden-Fold Networks (HFN): Random Recurrent Residuals Using Sparse Supermasks by Ángel López García-Arias, Masanori Hashimoto, Masato Motomura, and J
This thesis is mainly concerned with state-space methods for a class of deep Gaussian process (DGP) regression problems
Doctoral dissertation of Zheng Zhao This thesis is mainly concerned with state-space methods for a class of deep Gaussian process (DGP) regression pro
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Riskfolio-Lib Quantitative Strategic Asset Allocation, Easy for Everyone. Description Riskfolio-Lib is a library for making quantitative strategic ass
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval.
DARP-SBIR Intro This repository contains the source code implementation for ICDM submission paper Deep Reinforced Attention Regression for Partial Ske
Auto-Encoding Score Distribution Regression for Action Quality Assessment
DAE-AQA It is an open source program reference to paper Auto-Encoding Score Distribution Regression for Action Quality Assessment. 1.Introduction DAE
PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows.
An open-source, low-code machine learning library in Python 🚀 Version 2.3.5 out now! Check out the release notes here. Official • Docs • Install • Tu
Confidence intervals for scikit-learn forest algorithms
forest-confidence-interval: Confidence intervals for Forest algorithms Forest algorithms are powerful ensemble methods for classification and regressi
Scikit-Garden or skgarden is a garden for Scikit-Learn compatible decision trees and forests.
Scikit-Garden or skgarden (pronounced as skarden) is a garden for Scikit-Learn compatible decision trees and forests.
Generalized Random Forests
generalized random forests A pluggable package for forest-based statistical estimation and inference. GRF currently provides non-parametric methods fo
Code to compute permutation and drop-column importances in Python scikit-learn models
Feature importances for scikit-learn machine learning models By Terence Parr and Kerem Turgutlu. See Explained.ai for more stuff. The scikit-learn Ran
Bayesian Additive Regression Trees For Python
BartPy Introduction BartPy is a pure python implementation of the Bayesian additive regressions trees model of Chipman et al [1]. Reasons to use BART
InfiniteBoost: building infinite ensembles with gradient descent
InfiniteBoost Code for a paper InfiniteBoost: building infinite ensembles with gradient descent (arXiv:1706.01109). A. Rogozhnikov, T. Likhomanenko De
A pure Python implementation of a mixed effects random forest (MERF) algorithm
Mixed Effects Random Forest This repository contains a pure Python implementation of a mixed effects random forest (MERF) algorithm. It can be used, o
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
This repository contains the code used for the implementation of the paper "Probabilistic Regression with HuberDistributions"
Public_prob_regression_with_huber_distributions This repository contains the code used for the implementation of the paper "Probabilistic Regression w
Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.
lacmus The program for searching through photos from the air of lost people in the forest using Retina Net neural nwtwork. The project is being develo
Blender pluggin (python script) that adds a randomly generated tree with random branches and bend orientations
Blender pluggin (python script) that adds a randomly generated tree with random branches and bend orientations
A python module to create random networks using network models
networkgen A python module to create random networks using network models Usage $