Python Awesome-bayesian-statistics Resources

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

Code release for "Bayesian Compression for Deep Learning" In "Bayesian Compression for Deep Learning" we adopt a Bayesian view for the compression of

TensorFlow implementation of "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

Awesome angr A collection of resources/tools and analyses for the angr binary analysis framework. This page does not only collect links and external r

collection of interesting Computer Science resources

A ready-to-use curated list of Spectral Indices for Remote Sensing applications. GitHub: https://github.com/davemlz/awesome-ee-spectral-indices Docume

A discord bot for tracking Iranian Minecraft servers and showing the statistics of them

autoUniCalendar Un script en Python para convertir el calendario de la intranet de la Universidad de Oviedo en un calendario de Outlook o Google Calen

fourier-bayesian-sv-estimation Fourier-Bayesian estimation of stochastic volatility models Code used to run the numerical examples of "Bayesian Approa

Functional Data Analysis Python package

Case studies with Bayesian methods

A python application that wraps around AlphaVantage, Quandl and IEX APIs, calculates financial statistics and optimizes portfolio allocations.

skimpy Welcome Welcome to skimpy! skimpy is a light weight tool that provides summary statistics about variables in data frames within the console. Th

We present the new scheme to compute Monte Carlo estimator in Bayesian VI settings with almost no memory cost in GPU, regardles of the number of sampl

A Python library for calculating a large variety of statistics from text(s) using spaCy v.3 pipeline components and extensions. TextDescriptives can be used to calculate several descriptive statistics, readability metrics, and metrics related to dependency distance.

GitHub-Stalker track your github statistics 👀 features find new followers or unfollowers find who got a star on your project or remove stars find who

iometrics Monitor and log Network and Disks statistics in MegaBytes per second. Install pip install iometrics Usage Pytorch-lightning integration from

A Survey of Natural Language Generation in Task-Oriented Dialogue System (TOD): Recent Advances and New Frontiers

An awesome Python wrapper for an awesome Docker CLI!

Bayesian Algorithm Execution (BAX) Code for the paper: Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mut

Django REST Registration User registration REST API, based on Django REST Framework. Documentation Full documentation for the project is available at

Terminal string styling done right This is a feature-complete clone of the awesome Chalk (JavaScript) library. All credits go to Sindre Sorhus. Highli

MUST-GAN Code | paper The Pytorch implementation of our CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generat

A simple, transparent, open-source key logger, written in Python, for tracking your own key-usage statistics, originally intended for keyboard layout optimization.

Collect super-resolution related papers, data, repositories

👍 Awesome Panel - Introduction to Panel THIS REPO IS WORK IN PROGRESS. PRE-ALPHA Panel is a very powerful framework for exploratory data analysis and

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 curated list of amazingly awesome Cybersecurity datasets

Sun Valley ttk theme examples This is the examples repo for my stunning Sun Valley ttk theme! Be sure to start and atch this repo, because I will uplo

Evidential Deep Learning for Guided Molecular Property Prediction and Discovery Ava Soleimany*, Alexander Amini*, Samuel Goldman*, Daniela Rus, Sangee

Bonsai is a wrapper for the XGBoost and Catboost model training pipelines that leverages Bayesian optimization for computationally efficient hyperparameter tuning.

A collection of research papers and software related to explainability in graph machine learning.

Awesome PyTorch Scholarship Resources A collection of awesome PyTorch and Python learning resources. Contributions are always welcome! Course Informat

A selection of State Of The Art research papers (and code) on human trajectory prediction (forecasting). Papers marked with [W] are workshop papers.

A curated list of resources including papers, datasets, and relevant links pertaining to image composition.

Gamestonk Terminal is an awesome stock and crypto market terminal. A FOSS alternative to Bloomberg Terminal.

an awesome hand gesture detection project for you to be creative! Imagination is the limit to do with this project.

ippsec-cli This a simple tool to query the awesome ippsec.rocks website from your terminal Installation and usage cd /opt git clone https://github.com

Dangers of Bayesian Model Averaging under Covariate Shift This repository contains the code to reproduce the experiments in the paper Dangers of Bayes

A corona statistics and information telegram bot.

qBittorrent Search Plugins This is a still growing collection of search plugins for qBittorent, an amazing and open source torrent client, maintained

This pandect (πανδέκτης is Ancient Greek for encyclopedia) was created to help you find and understand almost anything related to Microservices that i

COVID-19-Deaths-Dataset COVID-19 deaths statistics around the world This is a daily updated dataset of COVID-19 deaths around the world. The dataset c

Statistics and Visualization of acceptance rate, main keyword of CVPR 2021 accepted papers for the main Computer Vision conference (CVPR)

A Curated Collection of Awesome Python Scripts that will make you go wow. This repository will help you in getting those green squares. Hop in and enjoy the journey of open source. 🚀

🔬 A curated list of awesome machine learning strategies & tools in financial market.

A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.

SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving Abstract In this paper, we introduce SalsaNext f

PosteriorStacker Combines Bayesian analyses from many datasets. Introduction Method Tutorial Output plot and files Introduction Fitting a model to a d

Graphsignal Logger Overview Graphsignal is an observability platform for monitoring and troubleshooting production machine learning applications. It h

Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs This is an implemetation of the paper Few-shot Relation Extraction via Baye

A list of papers about point cloud based place recognition, also known as loop closure detection in SLAM (processing)

Bayesian optimization in JAX

prometheus-chia-exporter Prometheus exporter for several chia node statistics It's assumed that the full node, the harvester and the wallet run on the

A curated list of awesome anomaly detection works in medical imaging, inspired by the other awesome-* initiatives.

Awesome Video Datasets

About statsmodels statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics an

PyMC3 is a Python package for Bayesian statistical modeling and Probabilistic Machine Learning focusing on advanced Markov chain Monte Carlo (MCMC) an

flask extension for integration with the awesome pydantic package

martor Martor is a Markdown Editor plugin for Django, supported for Bootstrap & Semantic-UI. Features Live Preview Integrated with Ace Editor Supporte

MixStyle This repo contains the code of our ICLR'21 paper, "Domain Generalization with MixStyle". The OpenReview link is https://openreview.net/forum?

Awesome Wagtail A curated list of awesome packages, articles, and other cool resources from the Wagtail community. Wagtail is a Python CMS powered by

pyGroff A wrapper for groff using python to have a nicer syntax for groff documents DOCUMENTATION Very similar to markdown. So if you know what that i

Awesome Pydantic A curated list of awesome things related to Pydantic. These packages have not been vetted or approved by the pydantic team. Feel free

ArviZ (pronounced "AR-vees") is a Python package for exploratory analysis of Bayesian models. Includes functions for posterior analysis, data storage, model checking, comparison and diagnostics

One Stop Anomaly Shop (OSAS) Quick start guide Step 1: Get/build the docker image Option 1: Use precompiled image (might not reflect latest changes):

🏅 Collection of Kaggle Solutions and Ideas 🏅

A list of multi-task learning papers and projects.

OCTIS : Optimizing and Comparing Topic Models is Simple! OCTIS (Optimizing and Comparing Topic models Is Simple) aims at training, analyzing and compa

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Bayesian Image Reconstruction using Deep Generative Models R. Marinescu, D. Moyer, P. Golland For technical inquiries, please create a Github issue. F

Bayesian-Torch is a library of neural network layers and utilities extending the core of PyTorch to enable the user to perform stochastic variational inference in Bayesian deep neural networks. Bayesian-Torch is designed to be flexible and seamless in extending a deterministic deep neural network architecture to corresponding Bayesian form by simply replacing the deterministic layers with Bayesian layers.

Backend logic implementation for realworld with awesome FastAPI

Awesome-NLP-Research (ANLP)

AutoOED is an optimal experiment design platform powered with automated machine learning to accelerate the discovery of optimal solutions. Our platform solves multi-objective optimization problems and automatically guides the design of experiment to be evaluated.

PClean: A Domain-Specific Probabilistic Programming Language for Bayesian Data Cleaning Warning: This is a rapidly evolving research prototype.

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rasterstats rasterstats is a Python module for summarizing geospatial raster datasets based on vector geometries. It includes functions for zonal stat

Included Conferences: SIGIR 2020, SIGKDD 2020, RecSys 2020, CIKM 2020, AAAI 2021, WSDM 2021, WWW 2021

This repo is a collection of resources on GAN inversion, as a supplement for our survey

Boltons boltons should be builtins. Boltons is a set of over 230 BSD-licensed, pure-Python utilities in the same spirit as — and yet conspicuously mis

ZhuSuan is a Python probabilistic programming library for Bayesian deep learning, which conjoins the complimentary advantages of Bayesian methods and

Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. Some of its main features are listed below. F

Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilis

Bayesian Active Learning (BaaL) BaaL is an active learning library developed at ElementAI. This repository contains techniques and reusable components

Disclaimer This project is stable and being incubated for long-term support. It may contain new experimental code, for which APIs are subject to chang

Bayesian inference in HSMMs and HMMs This is a Python library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and expli

Bambi BAyesian Model-Building Interface in Python Overview Bambi is a high-level Bayesian model-building interface written in Python. It's built on to

pgmpy pgmpy is a python library for working with Probabilistic Graphical Models. Documentation and list of algorithms supported is at our official sit

Website | Documentation (release) | Documentation (develop) | Glossary Table of Contents What does GPflow do? Installation Getting Started with GPflow

FilterPy - Kalman filters and other optimal and non-optimal estimation filters in Python. NOTE: Imminent drop of support of Python 2.7, 3.4. See secti

Getting Started | Documentation | Community | Contributing Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch. Notab

TensorFlow Probability TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFl

imbalanced-learn imbalanced-learn is a python package offering a number of re-sampling techniques commonly used in datasets showing strong between-cla

PyDLM Welcome to pydlm, a flexible time series modeling library for python. This library is based on the Bayesian dynamic linear model (Harrison and W

Stock Statistics/Indicators Calculation Helper VERSION: 0.3.2 Introduction Supply a wrapper StockDataFrame based on the pandas.DataFrame with inline s

Best-of Web Development with Python 🏆 A ranked list of awesome python libraries for web development. Updated weekly. This curated list contains 540 a

Summit Summit is a set of tools for optimising chemical processes. We’ve started by targeting reactions. What is Summit? Currently, reaction optimisat

awesome-SynthText A curated list of awesome synthetic data for text location and recognition and OCR datasets. Text location SynthText SynthText_Chine

Call for contributor(paper summary,dataset generation,algorithm implementation and any other useful resources) awesome-ocr A curated list of promising