328 Repositories
Python random-forest-classifier Libraries
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
Flexible constructor to create dynamic list of heterogeneous properties for some kind of entity
Flexible constructor to create dynamic list of heterogeneous properties for some kind of entity. This set of helpers useful to create properties like contacts or attributes for describe car/computer/etc.
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
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
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
Predict Breast Cancer Wisconsin (Diagnostic) using Naive Bayes
Naive-Bayes Predict Breast Cancer Wisconsin (Diagnostic) using Naive Bayes Downloading Data Set Use our Breast Cancer Wisconsin Data Set Also you can
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
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
Extreme Dynamic Classifier Chains - XGBoost for Multi-label Classification
Extreme Dynamic Classifier Chains Classifier chains is a key technique in multi-label classification, sinceit allows to consider label dependencies ef
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
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 :)
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
CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax ⚠️ Latest: Current repo is a complete version. But we delet
Codes for "Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier"
Deep-RTC [project page] This repository contains the source code accompanying our ECCV 2020 paper. Solving Long-tailed Recognition with Deep Realistic
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
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
A Python script which randomly chooses and prints a file from a directory.
___ ____ ____ _ __ ___ / _ \ | _ \ | _ \ ___ _ __ | '__| / _ \ | |_| || | | || | | | / _ \| '__| | | | __/ | _ || |_| || |_| || __
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
Editing a classifier by rewriting its prediction rules
This repository contains the code and data for our paper: Editing a classifier by rewriting its prediction rules Shibani Santurkar*, Dimitris Tsipras*
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
Official implementation of Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models at NeurIPS 2021
Representer Point Selection via Local Jacobian Expansion for Classifier Explanation of Deep Neural Networks and Ensemble Models This repository is the
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
This repository contains the source code of our work on designing efficient CNNs for computer vision
Efficient networks for Computer Vision This repo contains source code of our work on designing efficient networks for different computer vision tasks:
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
Accommodating supervised learning algorithms for the historical prices of the world's favorite cryptocurrency and boosting it through LightGBM.
Accommodating supervised learning algorithms for the historical prices of the world's favorite cryptocurrency and boosting it through LightGBM.
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
CLIPImageClassifier wraps clip image model from transformers
CLIPImageClassifier CLIPImageClassifier wraps clip image model from transformers. CLIPImageClassifier is initialized with the argument classes, these
fastai ulmfit - Pretraining the Language Model, Fine-Tuning and training a Classifier
fast.ai ULMFiT with SentencePiece from pretraining to deployment Motivation: Why even bother with a non-BERT / Transformer language model? Short answe
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
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
A method that utilized Generative Adversarial Network (GAN) to interpret the black-box deep image classifier models by PyTorch.
A method that utilized Generative Adversarial Network (GAN) to interpret the black-box deep image classifier models by PyTorch.
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 $
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble
datasketch: Big Data Looks Small datasketch gives you probabilistic data structures that can process and search very large amount of data super fast,
Predicting the usefulness of reviews given the review text and metadata surrounding the reviews.
Predicting Yelp Review Quality Table of Contents Introduction Motivation Goal and Central Questions The Data Data Storage and ETL EDA Data Pipeline Da
A machine learning project that predicts the price of used cars in the UK
Car Price Prediction Image Credit: AA Cars Project Overview Scraped 3000 used cars data from AA Cars website using Python and BeautifulSoup. Cleaned t
A music recommendation REST API which makes a machine learning algorithm work with the Django REST Framework
music-recommender-rest-api A music recommendation REST API which makes a machine learning algorithm work with the Django REST Framework How it works T
Code for "Universal inference meets random projections: a scalable test for log-concavity"
How to use this repository This repository contains code to replicate the results of "Universal inference meets random projections: a scalable test fo
Maximal extractable value inspector for Ethereum, to illuminate the dark forest 🌲 💡
mev-inspect-py Maximal extractable value inspector for Ethereum, to illuminate the dark forest 🌲 💡 Given a block, mev-inspect finds: miner payments
[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )
GNeRF This repository contains official code for the ICCV 2021 paper: GNeRF: GAN-based Neural Radiance Field without Posed Camera. This implementation
RP-GAN: Stable GAN Training with Random Projections
RP-GAN: Stable GAN Training with Random Projections This repository contains a reference implementation of the algorithm described in the paper: Behna
A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions
A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions
Draw random mazes in python
a-maze Draw random mazes in python This program generates and draws a rectangular maze, with an entrance on one side and one on the opposite side. The
Get random jokes bapack2 on telegram
Jokes Bapack2 Telegram Bot Get random jokes bapack2 from jokes-bapack2-api on telegram bot Screenshot Requirements python pip pipenv python-telegram-b
Full-featured Decision Trees and Random Forests learner.
CID3 This is a full-featured Decision Trees and Random Forests learner. It can save trees or forests to disk for later use. It is possible to query tr
This Project is based on NLTK It generates a RANDOM WORD from a predefined list of words, From that random word it read out the word, its meaning with parts of speech , its antonyms, its synonyms
This Project is based on NLTK(Natural Language Toolkit) It generates a RANDOM WORD from a predefined list of words, From that random word it read out the word, its meaning with parts of speech , its antonyms, its synonyms
Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets
Interactive Web App with Streamlit and Scikit-learn that applies different Classification algorithms to popular datasets Datasets Used: Iris dataset,
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
ROCKET + MINIROCKET ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels. Data Mining and Knowledge D
Extended Isolation Forest for Anomaly Detection
Table of contents Extended Isolation Forest Summary Motivation Isolation Forest Extension The Code Installation Requirements Use Citation Releases Ext
onelearn: Online learning in Python
onelearn: Online learning in Python Documentation | Reproduce experiments | onelearn stands for ONE-shot LEARNning. It is a small python package for o
Scikit-learn compatible wrapper of the Random Bits Forest program written by (Wang et al., 2016)
sklearn-compatible Random Bits Forest Scikit-learn compatible wrapper of the Random Bits Forest program written by Wang et al., 2016, available as a b
Get random jokes bapack2 from jokes-bapack2-api
Random Jokes Bapack2 Get random jokes bapack2 from jokes-bapack2-api Requirements Python Requests HTTP library How to Run py random-jokes-bapack2.py T
A simple and easy to use collection of random python functions.
A simple and easy to use collection of random python functions.
A collection of random and hastily hacked together scripts for investigating EU-DCC
A collection of random and hastily hacked together scripts for investigating EU-DCC
An okayish python script to generate a random Euler circuit with given number of vertices and edges.
Euler-Circuit-Test-Case-Generator An okayish python script to generate a random Euler circuit with given number of vertices and edges. Executing the S
A python lib for generate random string and digits and special characters or A combination of them
A python lib for generate random string and digits and special characters or A combination of them
A Random Password Generator made from Python
Things you need Python Step 1 Download the python file from Releases Step 2 Go to the directory where the python file is and run it Step 3 Type the le
A random cats photos python module
A random cats photos python module
A random cat fact python module
A random cat fact python module
Code for the paper "There is no Double-Descent in Random Forests"
Code for the paper "There is no Double-Descent in Random Forests" This repository contains the code to run the experiments for our paper called "There
TensorFlow 2 implementation of the Yahoo Open-NSFW model
TensorFlow 2 implementation of the Yahoo Open-NSFW model
Rates how pog a word or user is. Not random and does have *some* kind of algorithm to it.
PogRater :D Rates how pogchamp a word is :D A fun project coded by JBYT27 using Python3 Have you ever wondered how pog a word is? Well, congrats, you
YARSAW is an Async Python API Wrapper for the Random Stuff API.
Yet Another Random Stuff API Wrapper - YARSAW YARSAW is an Async Python API Wrapper for the Random Stuff API. This module makes it simpler for you to
Script for the creation of metadatas and the randomization of images of MekaVerse
MekaVerse-random Script for the creation of metadata and the randomization of images of MekaVerse Step to replay the random : Create a folder : output
Trash Sorter Extraordinaire is a software which efficiently detects the different types of waste in a pile of random trash through feeding it pictures or videos.
Trash-Sorter-Extraordinaire Trash Sorter Extraordinaire is a software which efficiently detects the different types of waste in a pile of random trash
📷 Face Recognition using Haar-Cascade Classifier, OpenCV, and Python
Face-Recognition-System Face Recognition using Haar-Cascade Classifier, OpenCV and Python. This project is based on face detection and face recognitio
[ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments? [Paper] [ICML'21 Project] PyTorch Implementation T
Repository for the paper "From global to local MDI variable importances for random forests and when they are Shapley values"
From global to local MDI variable importances for random forests and when they are Shapley values Antonio Sutera ([email protected]) Gilles Lou
A simplistic scraper made to download tons of random screenshots made by people.
printStealer 1.1 What is this tool? This tool is developed to show the insecurity of the screenshot utility called prnt sc. It is a site that stores s
In this tutorial, raster models of soil depth and soil water holding capacity for the United States will be sampled at random geographic coordinates within the state of Colorado.
Raster_Sampling_Demo (Resulting graph of this demo) Background Sampling values of a raster at specific geographic coordinates can be done with a numbe