285 Repositories
Python git-statistics Libraries
Extend the commitizen tools to create conventional commits and README that link to Jira and GitHub.
cz-github-jira-conventional cz-github-jira-conventional is a plugin for the commitizen tools, a toolset that helps you to create conventional commit m
An interactive course to git
OperatorEquals' Sandbox Git Course! Preface This Git course is an ongoing project containing use cases that I've met (and still meet) while working in
Pytorch implementation of CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation"
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.
A simple, transparent, open-source key logger, written in Python, for tracking your own key-usage statistics, originally intended for keyboard layout optimization.
A corona statistics and information telegram bot.
A corona statistics and information telegram bot.
fds is a tool for Data Scientists made by DAGsHub to version control data and code at once.
Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc
COVID-19 deaths statistics around the world
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
My Git GUI version made in Python and Tkinter.
Description My Git GUI version made in Python and Tkinter. How to use Basically, create a folder in your computer, open the software, select the path
Statistics and Visualization of acceptance rate, main keyword of CVPR 2021 accepted papers for the main Computer Vision conference (CVPR)
Statistics and Visualization of acceptance rate, main keyword of CVPR 2021 accepted papers for the main Computer Vision conference (CVPR)
Adds a new git subcommand named "ranch".
Git Ranch This script adds ranch, a new subcommand for git that makes it easier to order 1 Gallon of Kraft Ranch Salad Dressing from Amazon. Installat
A Git Alert Bot - Github Integration for Pyrogram & Telethon
Yet Another GitAlertBot Inspired From @Pokurt's GitGram Run Bot: Local Host Git Clone Repo : For Telethon Version : git clone https://github.com/DevsE
Automatic generator of readmes for git repositories (Includes file' listing)
Readme Generator We are bored of write the same things once and once again. We trust in the comments made inside of our files, and we decided to autom
GitFun - A Simplified Automated CLI tool for GITđ
GitFun A Simplified Automated CLI tool for GIT, It's for Lazy Developers and Newbies đ Table of contents GitFun Installation Usage Development Contri
Graphsignal Logger
Graphsignal Logger Overview Graphsignal is an observability platform for monitoring and troubleshooting production machine learning applications. It h
Find the remote website version based on a git repository
versionshaker Versionshaker is a tool to find a remote website version based on a git repository This tool will help you to find the website version o
Prometheus exporter for several chia node statistics
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
Statsmodels: statistical modeling and econometrics in Python
About statsmodels statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics an
Domain Generalization with MixStyle, ICLR'21.
MixStyle This repo contains the code of our ICLR'21 paper, "Domain Generalization with MixStyle". The OpenReview link is https://openreview.net/forum?
One Stop Anomaly Shop: Anomaly detection using two-phase approach: (a) pre-labeling using statistics, Natural Language Processing and static rules; (b) anomaly scoring using supervised and unsupervised machine learning.
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):
A complete guide to start and improve in machine learning (ML)
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!
Summary statistics of geospatial raster datasets based on vector geometries.
rasterstats rasterstats is a Python module for summarizing geospatial raster datasets based on vector geometries. It includes functions for zonal stat
Deluge BitTorrent client - Git mirror, PRs only
Deluge is a BitTorrent client that utilizes a daemon/client model. It has various user interfaces available such as the GTK-UI, Web-UI and a Console-UI. It uses libtorrent at it's core to handle the BitTorrent protocol.
gităUSD-Seg:Learning Universal Shape Dictionary for Realtime Instance Segmentationă(2020) GitHub: [fig2]
USD-Seg This project is an implement of paper USD-Seg:Learning Universal Shape Dictionary for Realtime Instance Segmentation, based on FCOS detector f
gităJoint Entity and Relation Extraction with Set Prediction Networksă(2020) GitHub:
Joint Entity and Relation Extraction with Set Prediction Networks Source code for Joint Entity and Relation Extraction with Set Prediction Networks. W
gităPseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiseră(2021) GitHub: [fig5]
Pseudo-ISP: Learning Pseudo In-camera Signal Processing Pipeline from A Color Image Denoiser Abstract The success of deep denoisers on real-world colo
gităFSCE: Few-Shot Object Detection via Contrastive Proposal Encodingă(CVPR 2021) GitHub: [fig8]
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding (CVPR 2021) This repo contains the implementation of our state-of-the-art fewshot ob
đŠ Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
Boltons boltons should be builtins. Boltons is a set of over 230 BSD-licensed, pure-Python utilities in the same spirit as â and yet conspicuously mis
Statistical package in Python based on Pandas
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
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilis
Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.
pgmpy pgmpy is a python library for working with Probabilistic Graphical Models. Documentation and list of algorithms supported is at our official sit
Gaussian processes in TensorFlow
Website | Documentation (release) | Documentation (develop) | Glossary Table of Contents What does GPflow do? Installation Getting Started with GPflow
Probabilistic reasoning and statistical analysis in TensorFlow
TensorFlow Probability TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFl
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
imbalanced-learn imbalanced-learn is a python package offering a number of re-sampling techniques commonly used in datasets showing strong between-cla
A python library for Bayesian time series modeling
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
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
Stock Statistics/Indicators Calculation Helper VERSION: 0.3.2 Introduction Supply a wrapper StockDataFrame based on the pandas.DataFrame with inline s
gităInvestigating Loss Functions for Extreme Super-Resolutionă(CVPR 2020) GitHub:
Investigating Loss Functions for Extreme Super-Resolution NTIRE 2020 Perceptual Extreme Super-Resolution Submission. Our method ranked first and secon
gităSelf-Attention Attribution: Interpreting Information Interactions Inside Transformeră(AAAI 2021) GitHub:
Self-Attention Attribution This repository contains the implementation for AAAI-2021 paper Self-Attention Attribution: Interpreting Information Intera
git gităTransformer Meets Tracker: Exploiting Temporal Context for Robust Visual Trackingă(CVPR 2021) GitHub:git2] ăMasksembles for Uncertainty Estimationă(CVPR 2021) GitHub:git3]
Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking Ning Wang, Wengang Zhou, Jie Wang, and Houqiang Li Accepted by CVPR
gităTangent Space Backpropogation for 3D Transformation Groupsă(CVPR 2021) GitHub:1]
LieTorch: Tangent Space Backpropagation Introduction The LieTorch library generalizes PyTorch to 3D transformation groups. Just as torch.Tensor is a m
gităCommonsense Knowledge Base Completion with Structural and Semantic Contextă(AAAI 2020) GitHub: [fig1]
Commonsense Knowledge Base Completion with Structural and Semantic Context Code for the paper Commonsense Knowledge Base Completion with Structural an
gităLearning Pairwise Inter-Plane Relations for Piecewise Planar Reconstructionă(ECCV 2020) GitHub:
Learning Pairwise Inter-Plane Relations for Piecewise Planar Reconstruction Code for the ECCV 2020 paper by Yiming Qian and Yasutaka Furukawa Getting
Implementation of Kalman Filter in Python
Kalman Filter in Python This is a basic example of how Kalman filter works in Python. I do plan on refactoring and expanding this repo in the future.
gităBeta R-CNN: Looking into Pedestrian Detection from Another Perspectiveă(NeurIPS 2020) GitHub:[fig3]
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective This is the pytorch implementation of our paper "[Beta R-CNN: Looking into Pede
TrueNAS CORE/Enterprise/SCALE Middleware Git Repository
TrueNAS CORE/Enterprise/SCALE main source repo Want to contribute or collaborate? Join our Slack instance. IMPORTANT NOTE: This is the master branch o
docker run klaus / pip install klaus â the first Git web viewer that Just Worksâ˘.
klaus: a simple, easy-to-set-up Git web viewer that Just Worksâ˘. (If it doesn't Just Work for you, please file a bug.) Super easy to set up -- no conf
A simple version control system built on top of Git
Gitless Gitless is a version control system built on top of Git, that is easy to learn and use: Simple commit workflow Track or untrack files to contr
git-cola: The highly caffeinated Git GUI
git-cola: The highly caffeinated Git GUI git-cola is a powerful Git GUI with a slick and intuitive user interface. Copyright (C) 2007-2020, David Agu
đŚData Version Control | Git for Data & Models
Website ⢠Docs ⢠Blog ⢠Twitter ⢠Chat (Community & Support) ⢠Tutorial ⢠Mailing List Data Version Control or DVC is an open-source tool for data sci
Git Plan - a better workflow for git
git plan A better workflow for git. Git plan inverts the git workflow so that you can write your commit message first, before you start writing code.
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
scikit-posthocs is a Python package that provides post hoc tests for pairwise multiple comparisons that are usually performed in statistical data anal
Pandas-based utility to calculate weighted means, medians, distributions, standard deviations, and more.
weightedcalcs weightedcalcs is a pandas-based Python library for calculating weighted means, medians, standard deviations, and more. Features Plays we
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
Stock Statistics/Indicators Calculation Helper VERSION: 0.3.2 Introduction Supply a wrapper StockDataFrame based on the pandas.DataFrame with inline s
Create HTML profiling reports from pandas DataFrame objects
Pandas Profiling Documentation | Slack | Stack Overflow Generates profile reports from a pandas DataFrame. The pandas df.describe() function is great
Probabilistic Programming and Statistical Inference in PyTorch
PtStat Probabilistic Programming and Statistical Inference in PyTorch. Introduction This project is being developed during my time at Cogent Labs. The
Create HTML profiling reports from pandas DataFrame objects
Pandas Profiling Documentation | Slack | Stack Overflow Generates profile reports from a pandas DataFrame. The pandas df.describe() function is great
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
imbalanced-learn imbalanced-learn is a python package offering a number of re-sampling techniques commonly used in datasets showing strong between-cla
Open source time series library for Python
PyFlux PyFlux is an open source time series library for Python. The library has a good array of modern time series models, as well as a flexible array
Module for statistical learning, with a particular emphasis on time-dependent modelling
Operating system Build Status Linux/Mac Windows tick tick is a Python 3 module for statistical learning, with a particular emphasis on time-dependent
50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster
[Due to the time taken @ uni, work + hell breaking loose in my life, since things have calmed down a bit, will continue commiting!!!] [By the way, I'm
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
What is xLearn? xLearn is a high performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machin
A CalDAV/CardDAV server
Xandikos is a lightweight yet complete CardDAV/CalDAV server that backs onto a Git repository. Xandikos (ÎινδΚκĎĎ or ÎινθΚκĎĎ) takes its name from the
đŚData Version Control | Git for Data & Models
Website ⢠Docs ⢠Blog ⢠Twitter ⢠Chat (Community & Support) ⢠Tutorial ⢠Mailing List Data Version Control or DVC is an open-source tool for data sci
đŠ Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
Boltons boltons should be builtins. Boltons is a set of over 230 BSD-licensed, pure-Python utilities in the same spirit as â and yet conspicuously mis
Visualize and compare datasets, target values and associations, with one line of code.
In-depth EDA (target analysis, comparison, feature analysis, correlation) in two lines of code! Sweetviz is an open-source Python library that generat
Create HTML profiling reports from pandas DataFrame objects
Pandas Profiling Documentation | Slack | Stack Overflow Generates profile reports from a pandas DataFrame. The pandas df.describe() function is great
đ Share your Github stats for 2020 on Twitter
Year on Github đ Share your Github stats for 2020 on Twitter. This project contains a small web app that let's you share stats about your Github acti
open a remote repo locally quickly
A command line tool to peek a remote repo hosted on github or gitlab locally and view it in your favorite editor. The tool handles cleanup of the repo once you exit your editor.
Visualize and compare datasets, target values and associations, with one line of code.
In-depth EDA (target analysis, comparison, feature analysis, correlation) in two lines of code! Sweetviz is an open-source Python library that generat
Create HTML profiling reports from pandas DataFrame objects
Pandas Profiling Documentation | Slack | Stack Overflow Generates profile reports from a pandas DataFrame. The pandas df.describe() function is great
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
What is xLearn? xLearn is a high performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machin
Statsmodels: statistical modeling and econometrics in Python
About statsmodels statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics an
scikit-learn: machine learning in Python
scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The project was started
MkDocs plugin for setting revision date from git per markdown file
mkdocs-git-revision-date-plugin MkDocs plugin that displays the last revision date of the current page of the documentation based on Git. The revision
GitPython is a python library used to interact with Git repositories.
Gitoxide: A peek into the future⌠I started working on GitPython in 2009, back in the days when Python was 'my thing' and I had great plans with it. O
curl statistics made simple
httpstat httpstat visualizes curl(1) statistics in a way of beauty and clarity. It is a single file đ Python script that has no dependency đ and is
A Python API to retrieve and read MLB GameDay data
mlbgame mlbgame is a Python API to retrieve and read MLB GameDay data. mlbgame works with real time data, getting information as games are being playe
Statsmodels: statistical modeling and econometrics in Python
About statsmodels statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics an
đŠ Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
Boltons boltons should be builtins. Boltons is a set of over 230 BSD-licensed, pure-Python utilities in the same spirit as â and yet conspicuously mis
Multi-class confusion matrix library in Python
Table of contents Overview Installation Usage Document Try PyCM in Your Browser Issues & Bug Reports Todo Outputs Dependencies Contribution References
đ Online machine learning in Python
In a nutshell River is a Python library for online machine learning. It is the result of a merger between creme and scikit-multiflow. River's ambition
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
What is xLearn? xLearn is a high performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machin
Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.
pgmpy pgmpy is a python library for working with Probabilistic Graphical Models. Documentation and list of algorithms supported is at our official sit
Easy and comprehensive assessment of predictive power, with support for neuroimaging features
Documentation: https://raamana.github.io/neuropredict/ News As of v0.6, neuropredict now supports regression applications i.e. predicting continuous t
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Bayesian Methods for Hackers Using Python and PyMC The Bayesian method is the natural approach to inference, yet it is hidden from readers behind chap
PathPicker accepts a wide range of input -- output from git commands, grep results, searches -- pretty much anything.After parsing the input, PathPicker presents you with a nice UI to select which files you're interested in. After that you can open them in your favorite editor or execute arbitrary commands.
PathPicker Facebook PathPicker is a simple command line tool that solves the perpetual problem of selecting files out of bash output. PathPicker will: