324 Repositories
Python sklearn-random-bits-forest Libraries
Telegram bot that let's you flip a coin in a dialog
coin_flip Telegram bot that let's you flip a coin in a dialog Report issue · Request feature About Software development tool that lets you finally dec
Go through a random file in your favourite open source projects!
Random Source Codes Never be bored again! Staring at your screen and just scrolling the great world wide web? Would you rather read through some code
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
AugMax: Adversarial Composition of Random Augmentations for Robust Training
[NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.
My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data
kNN-vs-RFR My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data In many areas, rental bikes have been launched to
Source code for the NeurIPS 2021 paper "On the Second-order Convergence Properties of Random Search Methods"
Second-order Convergence Properties of Random Search Methods This repository the paper "On the Second-order Convergence Properties of Random Search Me
(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)
IsoTree Fast and multi-threaded implementation of Extended Isolation Forest, Fair-Cut Forest, SCiForest (a.k.a. Split-Criterion iForest), and regular
[NeurIPS'21] "AugMax: Adversarial Composition of Random Augmentations for Robust Training" by Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Animashree Anandkumar, and Zhangyang Wang.
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang, Chaowei Xiao, Jean Kossaifi, Zhiding Yu, Anima Anandkumar, an
Simple python script for automated network scans with random name generator(useful for CTF boxes).
đ Automated NMAP script Description Simple python script for automated network scans with random name generator(useful for CTF boxes). Requirements 1
A Broader Picture of Random-walk Based Graph Embedding
Random-walk Embedding Framework This repository is a reference implementation of the random-walk embedding framework as described in the paper: A Broa
A totally unrealistic cell growth/reproduction simulation.
A totally unrealistic cell growth/reproduction simulation.
Generate Random ETH addresses and Private Keys and Saved to file.
ethgen.py Generate Random ETH addresses and Private Keys and Saved to file. ETH address the file is stored in ETH-address.txt. ETH private keys the fi
Random tarot card generator + rudimentary Django CMS
TAROT JUICER This is a rudimentary Django-based CMS which dynamically presents tarot-related content placed onto unconventional but familiar contexts
Robotic hamster to give you financial advice
hampp Robotic hamster to give you financial advice. I am not liable for any advice that the hamster gives. Follow at your own peril. Description Hampp
Stochastic Gradient Trees implementation in Python
Stochastic Gradient Trees - Python Stochastic Gradient Trees1 by Henry Gouk, Bernhard Pfahringer, and Eibe Frank implementation in Python. Based on th
A bunch of random PyTorch models using PyTorch's C++ frontend
PyTorch Deep Learning Models using the C++ frontend Gettting started Clone the repo 1. https://github.com/mrdvince/pytorchcpp 2. cd fashionmnist or
Yet another random discord bot.
YARDB (r!) Yet another fully functional and random discord bot. I might add more features if I'm bored also don't criticize on my code. Commands: 4 Di
Direct design of biquad filter cascades with deep learning by sampling random polynomials.
IIRNet Direct design of biquad filter cascades with deep learning by sampling random polynomials. Usage git clone https://github.com/csteinmetz1/IIRNe
Random Forests for Regression with Missing Entries
Random Forests for Regression with Missing Entries These are specific codes used in the article: On the Consistency of a Random Forest Algorithm in th
This is the repo for the paper "Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement".
Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement This is the repository for the paper "Improving the Accuracy-Memory Trad
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Amazon Forest Computer Vision Satellite Image tagging code using PyTorch / Keras Here is a sample of images we had to work with Source: https://www.ka
Generate random german words
Generate random german words / Generiere zufÀllige deutsche Wörter Getting Started Pip install with pip install zufallsworte Install the library with
Residual2Vec: Debiasing graph embedding using random graphs
Residual2Vec: Debiasing graph embedding using random graphs This repository contains the code for S. Kojaku, J. Yoon, I. Constantino, and Y.-Y. Ahn, R
Random maze generator and solver
Maze Generator and Solver I wrote a maze generator that works with two commonly known algorithms: Depth First Search and Randomized Prims. Both of the
Direct design of biquad filter cascades with deep learning by sampling random polynomials.
IIRNet Direct design of biquad filter cascades with deep learning by sampling random polynomials. Usage git clone https://github.com/csteinmetz1/IIRNe
Random JSON Key:Pair Json Generator
Random JSON Key:Value Pair Generator This simple script take an engish dictionary of words and and makes random key value pairs. The dictionary has ap
Continuous Conditional Random Field Convolution for Point Cloud Segmentation
CRFConv This repository is the implementation of "Continuous Conditional Random Field Convolution for Point Cloud Segmentation" 1. Setup 1) Building c
tweet random sand cat pictures
sandcatbot setup pip3 install --user -r requirements.txt cp sandcatbot.example.conf sandcatbot.conf vim sandcatbot.conf running the first parameter i
Application made in Django to generate random passwords as based on certain criteria .
PASSWORD GENERATOR Welcome to Password Generator About The App Password Generator is an Open Source project brought to you by Iot Lab,KIIT and it brin
Generates a random prnt.sc link and display image.
Generates a random prnt.sc link and display image.
Random Number Generator
Application for generating a random number.
offline half-random brute force script for Ethereum private keys
eth200swinger offline half-random brute force script for Ethereum private keys, goes from the beginning to end of range and vice versa, saves any foun
Generate different types of random avatars.
avatar-generator Generate different types of random avatars. Requirements Python3 pytorch=1.6 cv2=3.4 tqdm 1. Github-like avatars python generate_gi
Simple Python tool that generates a pseudo-random password with numbers, letters, and special characters in accordance with password policy best practices.
Simple Python tool that generates a pseudo-random password with numbers, letters, and special characters in accordance with password policy best practices.
Machine learning template for projects based on sklearn library.
Machine learning template for projects based on sklearn library.
Genart - Generate random art to sell as nfts
Genart - Generate random art to sell as nfts Usage git clone
This script just scrapes the most recent Nepali news from Kathmandu Post and notifies the user about current events at regular intervals.It sends out the most recent news at random!
Nepali-news-notifier This script just scrapes the most recent Nepali news from Kathmandu Post and notifies the user about current events at regular in
RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
State Entropy Maximization with Random Encoders for Efficient Exploration (RE3) (ICML 2021) Code for State Entropy Maximization with Random Encoders f
FastReID is a research platform that implements state-of-the-art re-identification algorithms.
FastReID is a research platform that implements state-of-the-art re-identification algorithms.
Vanilla and Prototypical Networks with Random Weights for image classification on Omniglot and mini-ImageNet. Made with Python3.
vanilla-rw-protonets-project Vanilla Prototypical Networks and PNs with Random Weights for image classification on Omniglot and mini-ImageNet. Made wi
retorna informaçÔes de pessoas que não existem
random-person-api API que entrega dados aleatĂłrios sobre pessoas que (provavelmente) nĂŁo existem. Como usar? Copie o link abaixo https://random-person
An implementation for Neural Architecture Search with Random Labels (CVPR 2021 poster) on Pytorch.
Neural Architecture Search with Random Labels(RLNAS) Introduction This project provides an implementation for Neural Architecture Search with Random L
Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST
Random Erasing Data Augmentation =============================================================== black white random This code has the source code for
A tiny, friendly, strong baseline code for Person-reID (based on pytorch).
Pytorch ReID Strong, Small, Friendly A tiny, friendly, strong baseline code for Person-reID (based on pytorch). Strong. It is consistent with the new
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
Graph Wavelet Neural Network â â A PyTorch implementation of Graph Wavelet Neural Network (ICLR 2019). Abstract We present graph wavelet neural network
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Attention Walk â â A PyTorch Implementation of Watch Your Step: Learning Node Embeddings via Graph Attention (NIPS 2018). Abstract Graph embedding meth
A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
Scalable Incomplete Network Embedding â â A PyTorch implementation of Scalable Incomplete Network Embedding (ICDM 2018). Abstract Attributed network em
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
GAM â â A PyTorch implementation of Graph Classification Using Structural Attention (KDD 2018). Abstract Graph classification is a problem with practic
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
SimGNN â â â A PyTorch implementation of SimGNN: A Neural Network Approach to Fast Graph Similarity Computation (WSDM 2019). Abstract Graph similarity s
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
CapsGNN â â A PyTorch implementation of Capsule Graph Neural Network (ICLR 2019). Abstract The high-quality node embeddings learned from the Graph Neur
A new data augmentation method for extreme lighting conditions.
Random Shadows and Highlights This repo has the source code for the paper: Random Shadows and Highlights: A new data augmentation method for extreme l
MachineLearningStocks is designed to be an intuitive and highly extensible template project applying machine learning to making stock predictions.
Using python and scikit-learn to make stock predictions
Python program to do with percentages and chances, random generation.
Chances and Percentages Python program to do with percentages and chances, random generation. What is this? This small program will generate a list wi
Cancer metastasis detection with neural conditional random field (NCRF)
NCRF Prerequisites Data Whole slide images Annotations Patch images Model Training Testing Tissue mask Probability map Tumor localization FROC evaluat
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
Amazon Forest Computer Vision Satellite Image tagging code using PyTorch / Keras Here is a sample of images we had to work with Source: https://www.ka
Telegram Radio - A User-bot who continuously play random audio files (from the famous telegram music channel @mveargasm) in the intended voice chat.
MvEargasmDJ: This is my submission for the Telegram Radio Project of Baivaru. Which required a userbot to continiously play random audio files from th
A fun hangman style game to guess random movie names with a short summary about the movie.
hang-movie-man Hangman but for movies đ This is a fun hangman style game to guess random movie names from the local database and show some summary ab
An AI Assistant More Than a Toolkit
tymon An AI Assistant More Than a Toolkit The reason for creating framework tymon is simple. making AI more like an assistant, helping us to complete
A simple Python app that generates semi-random chord progressions.
chords-generator A simple Python app that generates semi-random chord progressions.
Random Walk Graph Neural Networks
Random Walk Graph Neural Networks This repository is the official implementation of Random Walk Graph Neural Networks. Requirements Code is written in
NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021
NAS-Bench-Macro This repository includes the benchmark and code for NAS-Bench-Macro in paper "Prioritized Architecture Sampling with Monto-Carlo Tree
âł Tempo: The MLOps Software Development Kit
Tempo provides a unified interface to multiple MLOps projects that enable data scientists to deploy and productionise machine learning systems.
Assassination API for getting random quotes from Assassination Classroom.
Assassination API Take advantage of what you have, while you have it. Quotes from Assassination Classroom Assassination classroom is one of best anime
Automatic Attendance marker for LMS Practice School Division, BITS Pilani
LMS Attendance Marker Automatic script for lazy people to mark attendance on LMS for Practice School 1. Setup Add your LMS credentials and time slot t
⚠Un chois aléatoire d'un article sur Wikipedia totalement fait en Python par moi, et en français.
Wikipedia Random Article â Un chois alĂ©atoire d'un article sur Wikipedia totalement fait en Python par moi, et en français. đź GrĂące a une requĂšte a w
A New, Interactive Approach to Learning Python
This is the repository for The Python Workshop, published by Packt. It contains all the supporting project files necessary to work through the course from start to finish.
TensorFlow Decision Forests (TF-DF) is a collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.
TensorFlow Decision Forests (TF-DF) is a collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models. The library is a collection of Keras models and supports classification, regression and ranking. TF-DF is a TensorFlow wrapper around the Yggdrasil Decision Forests C++ libraries. Models trained with TF-DF are compatible with Yggdrasil Decision Forests' models, and vice versa.
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
Forecasting directional movements of stock-prices for intraday trading using LSTM and random-forest https://arxiv.org/abs/2004.10178 Pushpendu Ghosh,
(SIGIR2020) âAsymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedbackââ
Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback About This repository accompanies the real-world experiments conducted i
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Karate Club is an unsupervised machine learning extension library for NetworkX. Please look at the Documentation, relevant Paper, Promo Video, and Ext
ML-powered Loan-Marketer Customer Filtering Engine
In Loan-Marketing business employees are required to call the user's to buy loans of several fields and in several magnitudes. If employees are calling everybody in the network it is also very lengthy and uncertain that most of the customers will buy it. So, there is a very need for a filtering system that segregates the customers who are unlikely to buy loans and the opposite. Loan-Web is visualized and made up on that context.
Implementation of different ML Algorithms from scratch, written in Python 3.x
Implementation of different ML Algorithms from scratch, written in Python 3.x
DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight or group of weights, in order to achieve a given trade-off between model size and accuracy.
Differentiable Model Compression via Pseudo Quantization Noise DiffQ performs differentiable quantization using pseudo quantization noise. It can auto
A scikit-learn-compatible module for estimating prediction intervals.
|Anaconda|_ MAPIE - Model Agnostic Prediction Interval Estimator MAPIE allows you to easily estimate prediction intervals using your favourite sklearn
Using python and scikit-learn to make stock predictions
MachineLearningStocks in python: a starter project and guide EDIT as of Feb 2021: MachineLearningStocks is no longer actively maintained MachineLearni
Cobalt Strike random C2 Profile generator
Random C2 Profile Generator Cobalt Strike random C2 Profile generator Author: Joe Vest (@joevest) This project is designed to generate malleable c2 pr
Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning
The mljar-supervised is an Automated Machine Learning Python package that works with tabular data. I
scikit-learn inspired API for CRFsuite
sklearn-crfsuite sklearn-crfsuite is a thin CRFsuite (python-crfsuite) wrapper which provides interface simlar to scikit-learn. sklearn_crfsuite.CRF i
A library of sklearn compatible categorical variable encoders
Categorical Encoding Methods A set of scikit-learn-style transformers for encoding categorical variables into numeric by means of different techniques
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
Auto_TS: Auto_TimeSeries Automatically build multiple Time Series models using a Single Line of Code. Now updated with Dask. Auto_timeseries is a comp
Some bits of javascript to transcribe scanned pages using PageXML
nashi (nasáž«Ä«) Some bits of javascript to transcribe scanned pages using PageXML. Both ltr and rtl languages are supported. Try it! But wait, there's m
SigOpt wrappers for scikit-learn methods
SigOpt + scikit-learn Interfacing This package implements useful interfaces and wrappers for using SigOpt and scikit-learn together Getting Started In
Use evolutionary algorithms instead of gridsearch in scikit-learn
sklearn-deap Use evolutionary algorithms instead of gridsearch in scikit-learn. This allows you to reduce the time required to find the best parameter
Hyper-parameter optimization for sklearn
hyperopt-sklearn Hyperopt-sklearn is Hyperopt-based model selection among machine learning algorithms in scikit-learn. See how to use hyperopt-sklearn
Genetic feature selection module for scikit-learn
sklearn-genetic Genetic feature selection module for scikit-learn Genetic algorithms mimic the process of natural selection to search for optimal valu
scikit-learn inspired API for CRFsuite
sklearn-crfsuite sklearn-crfsuite is a thin CRFsuite (python-crfsuite) wrapper which provides interface simlar to scikit-learn. sklearn_crfsuite.CRF i
Supervised domain-agnostic prediction framework for probabilistic modelling
A supervised domain-agnostic framework that allows for probabilistic modelling, namely the prediction of probability distributions for individual data
A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
Master status: Development status: Package information: MDR A scikit-learn-compatible Python implementation of Multifactor Dimensionality Reduction (M
a feature engineering wrapper for sklearn
Few Few is a Feature Engineering Wrapper for scikit-learn. Few looks for a set of feature transformations that work best with a specified machine lear
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
BatchFlow BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflo
Pandas integration with sklearn
Sklearn-pandas This module provides a bridge between Scikit-Learn's machine learning methods and pandas-style Data Frames. In particular, it provides
Universal 1d/2d data containers with Transformers functionality for data analysis.
XPandas (extended Pandas) implements 1D and 2D data containers for storing type-heterogeneous tabular data of any type, and encapsulates feature extra
treeinterpreter - Interpreting scikit-learn's decision tree and random forest predictions.
TreeInterpreter Package for interpreting scikit-learn's decision tree and random forest predictions. Allows decomposing each prediction into bias and
A data-driven approach to quantify the value of classifiers in a machine learning ensemble.
Documentation | External Resources | Research Paper Shapley is a Python library for evaluating binary classifiers in a machine learning ensemble. The
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Documentations | Installation | Parameters | Python (scikit-learn) interface What's new? ThunderGBM won 2019 Best Paper Award from IEEE Transactions o
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
Regularized Greedy Forest Regularized Greedy Forest (RGF) is a tree ensemble machine learning method described in this paper. RGF can deliver better r
It is a forest of random projection trees
rpforest rpforest is a Python library for approximate nearest neighbours search: finding points in a high-dimensional space that are close to a given
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Master status: Development status: Package information: TPOT stands for Tree-based Pipeline Optimization Tool. Consider TPOT your Data Science Assista
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Little Ball of Fur is a graph sampling extension library for Python. Please look at the Documentation, relevant Paper, Promo video and External Resour
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Karate Club is an unsupervised machine learning extension library for NetworkX. Please look at the Documentation, relevant Paper, Promo Video, and Ext