3309 Repositories
Python bayesian-data-analysis Libraries
GEF (GDB Enhanced Features) - a modern experience for GDB with advanced debugging features for exploit developers & reverse engineers ☢
GEF (GDB Enhanced Features) - a modern experience for GDB with advanced debugging features for exploit developers & reverse engineers ☢
Dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
AutoGluon: AutoML for Text, Image, and Tabular Data
AutoML for Text, Image, and Tabular Data AutoGluon automates machine learning tasks enabling you to easily achieve strong predictive performance in yo
When traveling in the backcountry during winter time, updating yourself on current and recent weather data is important to understand likely avalanche danger.
Weather Data When traveling in the backcountry during winter time, updating yourself on current and recent weather data is important to understand lik
Doing bayesian data analysis - Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
Doing_bayesian_data_analysis This repository contains the Python version of the R programs described in the great book Doing bayesian data analysis (f
Coursera - Quiz & Assignment of Coursera
Coursera Assignments This repository is aimed to help Coursera learners who have difficulties in their learning process. The quiz and programming home
Hitchhikers-guide - The Hitchhiker's Guide to Data Science for Social Good
Welcome to the Hitchhiker's Guide to Data Science for Social Good. What is the Data Science for Social Good Fellowship? The Data Science for Social Go
Speech-Emotion-Analyzer - The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Speech Emotion Analyzer The idea behind creating this project was to build a machine learning model that could detect emotions from the speech we have
Sigma coding youtube - This is a collection of all the code that can be found on my YouTube channel Sigma Coding.
Sigma Coding Tutorials & Resources YouTube • Facebook Support Sigma Coding Patreon • GitHub Sponsor • Shop Amazon Table of Contents Overview Topics Re
Aws-machine-learning-university-accelerated-tab - Machine Learning University: Accelerated Tabular Data Class
Machine Learning University: Accelerated Tabular Data Class This repository contains slides, notebooks, and datasets for the Machine Learning Universi
Prml - Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
Pattern Recognition and Machine Learning (PRML) This project contains Jupyter notebooks of many the algorithms presented in Christopher Bishop's Patte
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models
Hyperparameter Optimization of Machine Learning Algorithms This code provides a hyper-parameter optimization implementation for machine learning algor
Fastquant - Backtest and optimize your trading strategies with only 3 lines of code!
fastquant 🤓 Bringing backtesting to the mainstream fastquant allows you to easily backtest investment strategies with as few as 3 lines of python cod
Spark-movie-lens - An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
A scalable on-line movie recommender using Spark and Flask This Apache Spark tutorial will guide you step-by-step into how to use the MovieLens datase
DAT4 - General Assembly's Data Science course in Washington, DC
DAT4 Course Repository Course materials for General Assembly's Data Science course in Washington, DC (12/15/14 - 3/16/15). Instructors: Sinan Ozdemir
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
TensorFlow 101: Introduction to Deep Learning I have worked all my life in Machine Learning, and I've never seen one algorithm knock over its benchmar
Lolviz - A simple Python data-structure visualization tool for lists of lists, lists, dictionaries; primarily for use in Jupyter notebooks / presentations
lolviz By Terence Parr. See Explained.ai for more stuff. A very nice looking javascript lolviz port with improvements by Adnan M.Sagar. A simple Pytho
Kaggle-titanic - A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
Kaggle-titanic This is a tutorial in an IPython Notebook for the Kaggle competition, Titanic Machine Learning From Disaster. The goal of this reposito
Statistical-Rethinking-with-Python-and-PyMC3 - Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
Statistical Rethinking with Python and PyMC3 This repository has been deprecated in favour of this one, please check that repository for updates, for
Orbivator AI - To Determine which features of data (measurements) are most important for diagnosing breast cancer and find out if breast cancer occurs or not.
Orbivator_AI Breast Cancer Wisconsin (Diagnostic) GOAL To Determine which features of data (measurements) are most important for diagnosing breast can
X-news - Pipeline data use scrapy, kafka, spark streaming, spark ML and elasticsearch, Kibana
X-news - Pipeline data use scrapy, kafka, spark streaming, spark ML and elasticsearch, Kibana
Numerical-computing-is-fun - Learning numerical computing with notebooks for all ages.
As much as this series is to educate aspiring computer programmers and data scientists of all ages and all backgrounds, it is also a reminder to mysel
Checkov is a static code analysis tool for infrastructure-as-code.
Checkov - Prevent cloud misconfigurations during build-time for Terraform, Cloudformation, Kubernetes, Serverless framework and other infrastructure-as-code-languages with Checkov by Bridgecrew.
50-days-of-Statistics-for-Data-Science - This repository consist of a 50-day program
50-days-of-Statistics-for-Data-Science - This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.
The Master's in Data Science Program run by the Faculty of Mathematics and Information Science
The Master's in Data Science Program run by the Faculty of Mathematics and Information Science is among the first European programs in Data Science and is fully focused on data engineering and data analytics.
UltraGraphQL - a GraphQL interface for querying and modifying RDF data on the Web.
UltraGraphQL - cloned from https://git.rwth-aachen.de/i5/ultragraphql Updated or extended files: build.gradle: updated maven to use maven {url "https:
Linescanning - Package for (pre)processing of anatomical and (linescanning) fMRI data
line scanning repository This repository contains all of the tools used during the acquisition and postprocessing of line scanning data at the Spinoza
Mortgage-loan-prediction - Show how to perform advanced Analytics and Machine Learning in Python using a full complement of PyData utilities
Mortgage-loan-prediction - Show how to perform advanced Analytics and Machine Learning in Python using a full complement of PyData utilities. This is aimed at those looking to get into the field of Data Science or those who are already in the field and looking to solve a real-world project with python.
Using SQLite within Python to create database and analyze Starcraft 2 units data (Pandas also used)
SQLite python Starcraft 2 English This project shows the usage of SQLite with python. To create, modify and communicate with the SQLite database from
Customer-Transaction-Analysis - This analysis is based on a synthesised transaction dataset containing 3 months worth of transactions for 100 hypothetical customers.
Customer-Transaction-Analysis - This analysis is based on a synthesised transaction dataset containing 3 months worth of transactions for 100 hypothetical customers. It contains purchases, recurring transactions, and salary transactions. The dataset is designed to simulate realistic transaction behaviours that are observed in ANZ’s real transaction data.
Codeflare - Scale complex AI/ML pipelines anywhere
Scale complex AI/ML pipelines anywhere CodeFlare is a framework to simplify the integration, scaling and acceleration of complex multi-step analytics
Twitter-Sentiment-Analysis - Twitter sentiment analysis for india's top online retailers(2019 to 2022)
Twitter-Sentiment-Analysis Twitter sentiment analysis for india's top online retailers(2019 to 2022) Project Overview : Sentiment Analysis helps us to
A project consists in a set of assignements corresponding to a BI process: data integration, construction of an OLAP cube, qurying of a OPLAP cube and reporting.
TennisBusinessIntelligenceProject - A project consists in a set of assignements corresponding to a BI process: data integration, construction of an OLAP cube, qurying of a OPLAP cube and reporting.
2019 Data Science Bowl
Kaggle-2019-Data-Science-Bowl-Solution - Here i present my solution to kaggle 2019 data science bowl and how i improved it to win a silver medal in that competition.
Team nan solution repository for FPT data-centric competition. Data augmentation, Albumentation, Mosaic, Visualization, KNN application
FPT_data_centric_competition - Team nan solution repository for FPT data-centric competition. Data augmentation, Albumentation, Mosaic, Visualization, KNN application
Statistical Rethinking: A Bayesian Course Using CmdStanPy and Plotnine
Statistical Rethinking: A Bayesian Course Using CmdStanPy and Plotnine Intro This repo contains the python/stan version of the Statistical Rethinking
TwitterDataStreaming - Twitter data streaming using APIs
Twitter_Data_Streaming Twitter data streaming using APIs Use Case 1: Streaming r
SpecAugmentPyTorch - A Pytorch (support batch and channel) implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition
SpecAugment An implementation of SpecAugment for Pytorch How to use Install pytorch, version=1.9.0 (new feature (torch.Tensor.take_along_dim) is used
Resmed_myair_sensors - This is a Home Assistant custom component to pull daily CPAP data from ResMed's myAir service using an undocumented API
resmed_myair This component will set up the following platforms. Platform Description sensor Show info from the myAir API. Installation Using the tool
Genshin-assets - 👧 Public documentation & static assets for Genshin Impact data.
genshin-assets This repo provides easy access to the Genshin Impact assets, primarily for use on static sites. Sources Genshin Optimizer - An Artifact
CodeAnalysis - Static Code Analysis: a code comprehensive analysis platform
TCA, Tencent Cloud Code Analysis English | 简体中文 What is TCA Tencent Cloud Code A
Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible
IMBENS: Class-imbalanced Ensemble Learning in Python Language: English | Chinese/中文 Links: Documentation | Gallery | PyPI | Changelog | Source | Downl
The codebase for Data-driven general-purpose voice activity detection.
Data driven GPVAD Repository for the work in TASLP 2021 Voice activity detection in the wild: A data-driven approach using teacher-student training. S
WaveFake: A Data Set to Facilitate Audio DeepFake Detection
WaveFake: A Data Set to Facilitate Audio DeepFake Detection This is the code repository for our NeurIPS 2021 (Track on Datasets and Benchmarks) paper
If Google News had a Python library
pygooglenews If Google News had a Python library Created by Artem from newscatcherapi.com but you do not need anything from us or from anyone else to
Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Code used for the results in the paper "ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning"
Code used for the results in the paper "ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning" Getting started Prerequisites CUD
Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.
COResets and Data Subset selection Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order
[CVPR'2020] DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data
DeepDeform (CVPR'2020) DeepDeform is an RGB-D video dataset containing over 390,000 RGB-D frames in 400 videos, with 5,533 optical and scene flow imag
Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
Semi-supervised Deep Kernel Learning This is the code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data
CCCL: Contrastive Cascade Graph Learning.
CCGL: Contrastive Cascade Graph Learning This repo provides a reference implementation of Contrastive Cascade Graph Learning (CCGL) framework as descr
This is a scalable system that reads messages from public Telegram channels using Telethon and stores the data in a PostgreSQL database.
This is a scalable system that reads messages from public Telegram channels using Telethon and stores the data in a PostgreSQL database. Its original intention is to monitor cryptocurrency related channels, but it can be configured to read any Telegram data that is accessible through the API.
Beibo is a Python library that uses several AI prediction models to predict stocks returns over a defined period of time.
Beibo is a Python library that uses several AI prediction models to predict stocks returns over a defined period of time.
Serverless function for replicating weather underground data to an influxDB database
Weather Underground → Influx DB 🌤 Serverless function for replicating Weather U
Generate and Visualize Data Lineage from query history
Tokern Lineage Engine Tokern Lineage Engine is fast and easy to use application to collect, visualize and analyze column-level data lineage in databas
Analysing poker data from home games with friends
Poker Game Analysis Analysing poker data from home games with friends. Not a lot of data is collected, so this project is primarily focussed on descri
eXPeditious Data Transfer
xpdt: eXPeditious Data Transfer About xpdt is (yet another) language for defining data-types and generating code for serializing and deserializing the
Numerical Methods with Python, Numpy and Matplotlib
Numerical Bric-a-Brac Collections of numerical techniques with Python and standard computational packages (Numpy, SciPy, Numba, Matplotlib ...). Diffe
This Jupyter notebook shows one way to implement a simple first-order low-pass filter on sampled data in discrete time.
How to Implement a First-Order Low-Pass Filter in Discrete Time We often teach or learn about filters in continuous time, but then need to implement t
A module to get data about anime characters, news, info, lyrics and more.
Animec A module to get data about anime characters, news, info, lyrics and more. The module scrapes myanimelist to parse requested data. If you wish t
Plotting and analysis tools for ARTIS simulations
Artistools Artistools is collection of plotting, analysis, and file format conversion tools for the ARTIS radiative transfer code. Installation First
Spatial Single-Cell Analysis Toolkit
Single-Cell Image Analysis Package Scimap is a scalable toolkit for analyzing spatial molecular data. The underlying framework is generalizable to spa
A library to generate synthetic time series data by easy-to-use factors and generator
timeseries-generator This repository consists of a python packages that generates synthetic time series dataset in a generic way (under /timeseries_ge
Data reduction pipeline for KOALA on the AAT.
KOALA KOALA, the Kilofibre Optical AAT Lenslet Array, is a wide-field, high efficiency, integral field unit used by the AAOmega spectrograph on the 3.
A Python reference implementation of the CF data model
cfdm A Python reference implementation of the CF data model. References Compliance with FAIR principles Documentation https://ncas-cms.github.io/cfdm
Retrieve and analysis data from SDSS (Sloan Digital Sky Survey)
Author: Behrouz Safari License: MIT sdss A python package for retrieving and analysing data from SDSS (Sloan Digital Sky Survey) Installation Install
web application for flight log analysis & review
Flight Review This is a web application for flight log analysis. It allows users to upload ULog flight logs, and analyze them through the browser. It
Datapane is the easiest way to create data science reports from Python.
Datapane Teams | Documentation | API Docs | Changelog | Twitter | Blog Share interactive plots and data in 3 lines of Python. Datapane is a Python lib
Python Practicum - prepare for your Data Science interview or get a refresher.
Python-Practicum Python Practicum - prepare for your Data Science interview or get a refresher. Data Data visualization using data on births from the
Yahoo! Finance next gen python 3 / pandas market data downloader
Yahoo! Finance-ng python3 / pandas market data downloader Ever since Yahoo! finance decommissioned their historical data API, many programs that relie
A project in order to analyze user's favorite musics, artists and genre
Spotify-Wrapped This is a project about Spotify Wrapped (which is an extra option for premium accounts, but you don't need to be premium here) This pr
Spectral Analysis in Python
SPECTRUM : Spectral Analysis in Python contributions: Please join https://github.com/cokelaer/spectrum contributors: https://github.com/cokelaer/spect
Quickly download, clean up, and install public datasets into a database management system
Finding data is one thing. Getting it ready for analysis is another. Acquiring, cleaning, standardizing and importing publicly available data is time
Manage your XYZ Hub or HERE Data Hub spaces from Python.
XYZ Spaces for Python Manage your XYZ Hub or HERE Data Hub spaces and Interactive Map Layer from Python. FEATURED IN: Online Python Machine Learning C
This is a student data management application developed in Python and TKinter. It utilizes the TKinter pillow library to include images to buttons. I've separated TKinter elements into their own individual classes. The user can change the smilely face color for each button individually or by entire row.
Smiley Face Cube Display Table of Contents Project Description Getting Started Prerequisites Installation & Deployment Additional Documentation Projec
Python wrapper for Synoptic Data API. Retrieve data from thousands of mesonet stations and networks. Returns JSON from Synoptic as Pandas DataFrame
☁ Synoptic API for Python (unofficial) The Synoptic Mesonet API (formerly MesoWest) gives you access to real-time and historical surface-based weather
Visualize data of Vietnam's regions with interactive maps.
Plotting Vietnam Development Map This is my personal project that I use plotly to analyse and visualize data of Vietnam's regions with interactive map
Updates redisearch instance with igdb data used for kimosabe
igdb-pdt Update RediSearch with IGDB games data in the following Format: { "game_slug": { "name": "game_name", "cover": "igdb_coverart_url",
A simple electrical network analyzer, BASED ON computer-aided design.
Electrical Network Analyzer A simple electrical network analyzer. Given the oriented graph of the electrical network (circut), BASED ON computer-aided
3D extension built off of shapely to make working with geospatial/trajectory data easier in python.
PyGeoShape 3D extension to shapely and pyproj to make working with geospatial/trajectory data easier in python. Getting Started Installation pip The e
Code for "Intra-hour Photovoltaic Generation Forecasting based on Multi-source Data and Deep Learning Methods."
pv_predict_unet-lstm Code for "Intra-hour Photovoltaic Generation Forecasting based on Multi-source Data and Deep Learning Methods." IEEE Transactions
A collection of resources, problems, explanations and concepts that are/were important during my Data Science journey
Data Science Gurukul List of resources, interview questions, concepts I use for my Data Science work. Topics: Basics of Programming with Python + Unde
Source code of AAAI 2022 paper "Towards End-to-End Image Compression and Analysis with Transformers".
Towards End-to-End Image Compression and Analysis with Transformers Source code of our AAAI 2022 paper "Towards End-to-End Image Compression and Analy
Aggregate real-time market data from cryptocurrency exchanges, filter, sort and format as TradingView watchlists.
tvbuddy Aggregate real-time market data from cryptocurrency exchanges, filter, sort and format as TradingView watchlists. Developed and tested on Pyth
Python wrapper for Xeno-canto API 2.0. Enables downloading bird data with one command line
Python wrapper for Xeno-canto API 2.0. Enables downloading bird data with one command line. Supports multithreading
Official release of MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis of Pancreatic Cancer axriv: http://arxiv.org/abs/2112.13513
MSHT: Multi-stage Hybrid Transformer for the ROSE Image Analysis This is the official page of the MSHT with its experimental script and records. We de
Code and training data for our ECCV 2016 paper on Unsupervised Learning
Shuffle and Learn (Shuffle Tuple) Created by Ishan Misra Based on the ECCV 2016 Paper - "Shuffle and Learn: Unsupervised Learning using Temporal Order
Code for the paper: Audio-Visual Scene Analysis with Self-Supervised Multisensory Features
[Paper] [Project page] This repository contains code for the paper: Andrew Owens, Alexei A. Efros. Audio-Visual Scene Analysis with Self-Supervised Mu
Repository created with LinkedIn profile analysis project done
EN/en Repository created with LinkedIn profile analysis project done. The datase
Visualization of the World Religion Data dataset by Correlates of War Project.
World Religion Data Visualization Visualization of the World Religion Data dataset by Correlates of War Project. Mostly personal project to famirializ
Cleaning and analysing aggregated UK political polling data.
Analysing aggregated UK polling data The tweet collection & storage pipeline used in email-service is used to also collect tweets from @britainelects.
MeerKAT radio telescope simulation package. Built to simulate multibeam antenna data.
MeerKATgen MeerKAT radio telescope simulation package. Designed with performance in mind and utilizes Just in time compile (JIT) and XLA backed vectro
Simple, minimal conversion of Bus Open Data Service SIRI-VM data to JSON
Simple, minimal conversion of Bus Open Data Service SIRI-VM data to JSON
Official repository of the paper Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Official repository of the paper Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Analysis and plotting for motor/prop/ESC characterization, thrust vs RPM and torque vs thrust
esc_test This is a Python package used to plot and analyze data collected for the purpose of characterizing a particular propeller, motor, and ESC con
Data-FX is an addon for Blender (2.9) that allows for the visualization of data with different charts
Data-FX Data-FX is an addon for Blender (2.9) that allows for the visualization of data with different charts Currently, there are only 2 chart option
whylogs: A Data and Machine Learning Logging Standard
whylogs: A Data and Machine Learning Logging Standard whylogs is an open source standard for data and ML logging whylogs logging agent is the easiest
TE-dependent analysis (tedana) is a Python library for denoising multi-echo functional magnetic resonance imaging (fMRI) data
tedana: TE Dependent ANAlysis TE-dependent analysis (tedana) is a Python library for denoising multi-echo functional magnetic resonance imaging (fMRI)
Time series visualizer is a flexible extension that provides filling world map by country from real data.
Time-series-visualizer Time series visualizer is a flexible extension that provides filling world map by country from csv or json file. You can know d