Python Bayesian-rule-list Resources

datastructures datastructures such as linked list, trees, graphs etc Made a public repository for coding enthusiasts. Those who want to collaborate on

A curated list of awesome projects and resources related fastai

s3-leaks List of AWS S3 Leaks Feel free to send in a PR if you know of other leaks Date Description Notes Aug2020 S3 bucket mess up exposed 182GB of s

An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models. Hyperactive: is very easy to lear

Awesome Streamlit The fastest way to build Awesome Tools and Apps! Powered by Python! The purpose of this project is to share knowledge on how Awesome

Awesome Dash A curated list of awesome Dash (plotly) resources Dash is a productive Python framework for building web applications. Written on top of

BartPy Introduction BartPy is a pure python implementation of the Bayesian additive regressions trees model of Chipman et al [1]. Reasons to use BART

A simple telegram bot that takes a list of files sent by the user and returns them 7zipped

TransMorph: Transformer for Medical Image Registration keywords: Vision Transformer, Swin Transformer, convolutional neural networks, image registrati

WhiteSource Top 10 Rejected Libraries Generate a spreadsheet listing the 10 most common libraries in your WhiteSource inventory that were rejected by

zeus is a Python implementation of the Ensemble Slice Sampling method. Fast & Robust Bayesian Inference, Efficient Markov Chain Monte Carlo (MCMC), Bl

PyExplainer PyExplainer is a local rule-based model-agnostic technique for generating explanations (i.e., why a commit is predicted as defective) of J

A curated list of resources for studying category theory. As resources aimed at mathematicians are abundant, this list is aimed at materials whose target audience is not people with a graduate-level mathematics background.

A quick username checker to see if a username is available on a list of assorted websites.

todo A minimal todo list for your terminal. Installation Run the following command. pip install git+https://github.com/piero-vic/todo.git Usage todo

Super simple bar charts for django admin list views visualizing the number of objects based on date_hierarchy using Chart.js.

Rule-based Representation Learner This is a PyTorch implementation of Rule-based Representation Learner (RRL) as described in NeurIPS 2021 paper: Scal

It's a repo for Cramer's rule, which is some math crap or something idk (just a joke, it's not crap; don't take that seriously, math teachers)

Bayesian Generative Adversarial Networks in Tensorflow This repository contains the Tensorflow implementation of the Bayesian GAN by Yunus Saatchi and

gans-awesome-applications Curated list of awesome GAN applications and demonstrations. Note: General GAN papers targeting simple image generation such

The GAN Zoo Every week, new GAN papers are coming out and it's hard to keep track of them all, not to mention the incredibly creative ways in which re

Kalman and Bayesian Filters in Python Introductory text for Kalman and Bayesian filters. All code is written in Python, and the book itself is written

CSF Code of Classification Saliency-Based Rule for Visible and Infrared Image Fusion Tips: For testing: CUDA_VISIBLE_DEVICES=0 python main.py For trai

Prior-RObust Bayesian Optimization (PROBO) Introduction, TOC This repository contains Prior-RObust Bayesian Optimization (PROBO) as introduced in our

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

Instagram Bruter This program will brute force any Instagram account you send it its way given a list of proxies. NOTICE I'm no longer maintaining thi

Python Causal Impact Causal inference using Bayesian structural time-series models. This package aims at defining a python equivalent of the R CausalI

DoWhy | An end-to-end library for causal inference Amit Sharma, Emre Kiciman Introducing DoWhy and the 4 steps of causal inference | Microsoft Researc

NNI Doc | 简体中文 NNI (Neural Network Intelligence) is a lightweight but powerful toolkit to help users automate Feature Engineering, Neural Architecture

Dragonfly is an open source python library for scalable Bayesian optimisation. Bayesian optimisation is used for optimising black-box functions whose

Data Science Cheatsheets List of Data Science Cheatsheets to rule the world. Table of Contents Business Science Business Science Problem Framework Dat

httprobe Take a list of domains and probe for working http and https servers. Install ▶ go get -u github.com/tomnomnom/httprobe Basic Usage httprobe

Django GraphQL Simple ToDo HOW TO RUN just run the following instructions: python -m venv venv pip install -r requirements.txt source venv/bin/activat

Linux-Tools List of Linux Tools I put on almost every Linux / Debian host Installed: geany -- GUI editor/ notepad++ like chkservice -- TUI Linux ser

ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.

Leaderboard, taxonomy, and curated list of few-shot object detection papers.

student-list Eazytraining - Simple application to show how to query API from webapp This repo is a simple application to list student with a webserver

AssistScraper - program for /r/nba to use to find list of all players a player assisted and how many assists each player recieved

LiST (Lite Self-Training) This is the implementation of the paper LiST: Lite Self-training Makes Efficient Few-shot Learners. LiST is short for Lite S

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Drug Discovery App A Drug Discovery App Using Lipinski's Rule-of-Five. TAPIWA CHAMBOKO 🚀 About Me I'm a full stack developer experienced in deploying

PhishDetector This module was made so you can check a URL and see if it's in discord's official list of phishing and suspicious URLs. Installation pip

Recursive Bayesian Networks This repository contains the code to reproduce the results from the NeurIPS 2021 paper Lieck R, Rohrmeier M (2021) Recursi

GINC small-scale in-context learning dataset GINC (Generative In-Context learning Dataset) is a small-scale synthetic dataset for studying in-context

causal-bald | Abstract | Installation | Example | Citation | Reproducing Results DUE An implementation of the methods presented in Causal-BALD: Deep B

Fast Pattern Fetcher (fpf) Coded with 3 by HS Devansh Raghav Fast Pattern Fetcher, Takes a URLs list and outputs the URLs which contains the paramete

A teeny Tiny module to check URLs against discord's list of phishing domains

How do you handle remembering all that loads of plans you are going to realize everyday? Producing tons of paper notes, plastered all over the house?

CVE-2021-41773 Fast python tool to test apache path traversal CVE-2021-41773 in a List of url Usage :- create a live urls file and use the flag "-l" p

OpenBox Doc | OpenBox中文文档 OpenBox: Generalized and Efficient Blackbox Optimization System OpenBox is an efficient and generalized blackbox optimizatio

Sample-specific Bayesian Networks A framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample or per-patient re

This repository contains source code for the paper Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces a

RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining Our code is based on Learning Attention-based Embed

Bayes-Newton Bayes-Newton is a library for approximate inference in Gaussian processes (GPs) in JAX (with objax), built and actively maintained by Wil

Dugh-NeurIPS-2021 This repo contains the code for the paper "Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroi

bayesmedaug: Bayesian Optimization Library for Medical Image Segmentation. bayesmedaug optimizes your data augmentation hyperparameters for medical im

Shadowmere An automatically tested list of Shadowsocks proxies. Motivation Collecting proxies around the internet is fun, but what if they stop workin

Application to list countries in order of travel from the United States.

Open Rule Induction This repository is the official implementation of Open Rule Induction. This paper has been accepted to NeurIPS 2021. Abstract Rule

Migration Manager Migration Manager (MM) is a very small utility that can list source servers in a target account and apply mass launch template modif

A simple command line tool written in python to manage a to-do list Dependencies: python Commands: todolist (-a | --add) [(-p | --priority)] [(-l | --

This repository contains the Matlab implementations for the following multi-target filtering/tracking algorithms: - Folder PMBM contains the implemen

Dynamic Causal Bayesian Optimization This is a Python implementation of Dynamic Causal Bayesian Optimization as presented at NeurIPS 2021. Abstract Th

Zoobot Zoobot classifies galaxy morphology with deep learning. This code will let you: Reproduce and improve the Galaxy Zoo DECaLS automated classific

Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms applied on Continuous Control Tasks This is the master thesi

Bayesian Optimisation Research This directory contains official implementations for Bayesian optimisation works developped by Huawei R&D, Noah's Ark L

Fmog: Fortinet Mass Object Generator This script will take a list of IP addresses and create address objects with the same name. It will also add them

Hackerank-Nested-List Given the names and grades for each student in a class N of students, store them in a nested list and print the name(s) of any s

vmgp This is the repository of Vivek Myers and Nikhil Sardana for our CS 330 final project, Bayesian Meta-Learning Through Variational Gaussian Proces

Simple Cipher Encrypter About | New Features | Exemple | How To Use | License ℹ️ About A simple key-based text encryption process that encrypts a stri

BoMb-OT Python3 implementation of the papers On Transportation of Mini-batches: A Hierarchical Approach and Improving Mini-batch Optimal Transport via

Karen is a Discord Bot that will check for a list of forbidden words/expressions, removing the message that contains them and replying with another message. Everything is highly customizable.

Uncertainty Baselines The goal of Uncertainty Baselines is to provide a template for researchers to build on. The baselines can be a starting point fo

README This project provides a rule learning algorithm for the deduction of syndrome definitions from time series data. Large parts of the algorithm a

Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning Update (September 18th, 2021) A supporting document de

spotbee This is a module that spits out YouTube URLs from Spotify Playlist URLs Why use this? It is asynchronous which makes it compatible to use with

ReLU-GP Residual (RGPR) This repository contains code for reproducing the following NeurIPS 2021 paper: @inproceedings{kristiadi2021infinite, title=

BO-GP Bayesian optimization based on Gaussian processes (BO-GP) for CFD simulations. The BO-GP codes are developed using GPy and GPyOpt. The optimizer

HumBugDB Acoustic mosquito detection with Bayesian Neural Networks. Extract audio or features from our large-scale dataset on Zenodo. This repository

Red-Key Red-Key Password List Maker Version 1.1.2 Created By FireKing255 -=Features=- Create Random Password List Create Password List Create Password

A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.

A curated list of awesome resources combining Transformers with Neural Architecture Search

TrelloX Trellox Tool is written in Python3 and designed to list and pull Trello boards. It can be used by penetration testers/bug bounty hunters to de

Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations Requirements The code is implemented in Python and requires

unfoldedVBA Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution This repository contains the Pytorch implementation of the unrolled

Uncertainty-based OOD detection Exploring the link between uncertainty estimates obtained by "exact" Bayesian inference and out-of-distribution (OOD)

Companion code for "Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees" Installa

Check for available subdomains Written in Python, this terminal based application looks for a 200 response from the subdomain list you've provided. En

BayesFGM Paper: Jiajing Niu, Andrew Brown. Bayesian regularization for functional graphical models. Requirements R version 3.6.3 and up Python 3.6 and

awesome-hugo-themes Automated deployment @ 2021-10-12 06:24:07 Asia/Shanghai &sorted=updated Theme Author License GitHub Stars Updated Blonde wamo MIT

Combo List Fixer A simple python code to fix your combo list by removing any text after a separator or removing duplicate combos Removing any text aft

Room Formatter This tool allows the user to convert a 16 by 16 image into a list with numbers representing an object/character. There is cur

BASTA: BAyesian STellar Algorithm Current stable version: v1.0 Important note: BASTA is developed for Python 3.8, but Python 3.7 should work as well.

Fastapi-lazy 🦥 Utilities that you use in various projects made in FastAPI. Source Code: https://github.com/yezz123/fastapi-lazy Install the project:

Awesome-of-Neural-Rendering A curated list of neural rendering and related resources. Please feel free to pull requests or open an issue to add papers

A curated list of awesome mathematics resources

A curated (most recent) list of resources for Learning with Noisy Labels

ToDo-List Manage your activities as well as possible. Create workspace Create many boards for different topics Add unlimited tasks About me Full name:

Website, Tutorials, and Docs    Uncertainty Toolbox A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualizatio

ml-in-cosmology This github attempts to maintain a comprehensive list of published machine learning applications to cosmology, organized by subject ma