417 Repositories
Python feature-store Libraries
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.
House_prices_kaggle - Predict sales prices and practice feature engineering, RFs, and gradient boosting
House Prices - Advanced Regression Techniques Predicting House Prices with Machine Learning This project is build to enhance my knowledge about machin
Houseprices - Predict sales prices and practice feature engineering, RFs, and gradient boosting
House Prices - Advanced Regression Techniques Predicting House Prices with Machine Learning This project is build to enhance my knowledge about machin
Python function to construct an ODS spreadsheet on the fly - without having to store the entire file in memory or disk
stream-write-ods Python function to construct an ODS (OpenDocument Spreadsheet) on the fly - without having to store the entire file in memory or disk
Roadster - Distance to Closest Road Feature Server
Roadster: Distance to Closest Road Feature Server Milliarium Aerum, the zero of
PyTorch Lightning + Hydra. A feature-rich template for rapid, scalable and reproducible ML experimentation with best practices. ⚡🔥⚡
Lightning-Hydra-Template A clean and scalable template to kickstart your deep learning project 🚀 ⚡ 🔥 Click on Use this template to initialize new re
Python function to construct a ZIP archive with on the fly - without having to store the entire ZIP in memory or disk
Python function to construct a ZIP archive with on the fly - without having to store the entire ZIP in memory or disk
An Instagram bot that can mass text users, receive and read a text, and store it somewhere with user details.
Instagram Bot 🤖 July 14, 2021 Overview 👍 A multifunctionality automated instagram bot that can mass text users, receive and read a message and store
Simple API written in Python using FastAPI to store and retrieve Books and Authors.
Simple API made with Python FastAPI WIP: Deploy in AWS with Terraform Simple API written in Python using FastAPI to store and retrieve Books and Autho
Low-level, feature rich and easy to use discord python wrapper
PWRCord Low-level, feature rich and easy to use discord python wrapper Important Note: At this point, this library API is considered unstable and can
Oh-My-PickleDB is an open source key-value store using Python's json module.
OH-MY-PICKLEDB oh-my-pickleDB is a lightweight, fast, and intuitive data manager written in python 📝 Table of Contents About Getting Started Deployme
PREFS is a Python library to store and manage preferences and settings.
PREFS PREFS is a Python library to store and manage preferences and settings. PREFS stores a Python dictionary in a total human-readable file, the PRE
Neptune client library - integrate your Python scripts with Neptune
Lightweight experiment tracking tool for AI/ML individuals and teams. Fits any workflow. Neptune is a lightweight experiment logging/tracking tool tha
Python wrapper around Apple App Store Api
App Store Connect Api This is a Python wrapper around the Apple App Store Api : https://developer.apple.com/documentation/appstoreconnectapi So far, i
Telegram Bot to store Posts and Documents and it can Access by Special Links.
Telegram Bot to store Posts and Documents and it can Access by Special Links. I Guess This Will Be Usefull For Many People..... 😇 . Features Fully cu
This repository contains a CBIR system that uses swin transformer to extract image's feature.
Swin-transformer based CBIR This repository contains a CBIR(content-based image retrieval) system. Here we use Swin-transformer to extract query image
A PyTorch version of You Only Look at One-level Feature object detector
PyTorch_YOLOF A PyTorch version of You Only Look at One-level Feature object detector. The input image must be resized to have their shorter side bein
Public repository created to store my custom-made tools for Just Dance (UbiArt Engine)
Woody's Just Dance Tools Public repository created to store my custom-made tools for Just Dance (UbiArt Engine) Development and updates Almost all of
Using computer vision method to recognize and calcutate the features of the architecture.
building-feature-recognition In this repository, we accomplished building feature recognition using traditional/dl-assisted computer vision method. Th
A wrapper around SageMaker ML Lineage Tracking extending ML Lineage to end-to-end ML lifecycles, including additional capabilities around Feature Store groups, queries, and other relevant artifacts.
ML Lineage Helper This library is a wrapper around the SageMaker SDK to support ease of lineage tracking across the ML lifecycle. Lineage artifacts in
Datamining of 15 Days of (free) Games at the Epic Games Store (EGS).
EGS: 15 Days of Games This repository contains Python code to data-mine the 15 Days of (free) Games at the Epic Games Store (EGS). Requirements Instal
Highly decentralized and censorship-resistant way to store key data
Beacon coin Beacon coin is a Chia singelton coin that can store data that needs to be: always available censorship resistant versioned potentially imm
Feature rich robust FastAPI template.
Flexible and Lightweight general-purpose template for FastAPI. Usage ⚠️ Git, Python and Poetry must be installed and accessible ⚠️ Poetry version must
Feature Store for Machine Learning
Overview Feast is an open source feature store for machine learning. Feast is the fastest path to productionizing analytic data for model training and
scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms.
Sklearn-genetic-opt scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms. This is meant to be an alternativ
DeepVoxels is an object-specific, persistent 3D feature embedding.
DeepVoxels is an object-specific, persistent 3D feature embedding. It is found by globally optimizing over all available 2D observations of
Build a grocery store management application.
python_projects_grocery_webapp In this python project, we will build a grocery store management application. It will be 3 tier application, Front end:
Industrial Image Anomaly Localization Based on Gaussian Clustering of Pre-trained Feature
Industrial Image Anomaly Localization Based on Gaussian Clustering of Pre-trained Feature Q. Wan, L. Gao, X. Li and L. Wen, "Industrial Image Anomaly
Working demo of the Multi-class and Anomaly classification model using the CLIP feature space
👁️ Hindsight AI: Crime Classification With Clip About For Educational Purposes Only This is a recursive neural net trained to classify specific crime
Virtual Dance Reality Stage: a feature that offers you to share a stage with another user virtually
Portrait Segmentation using Tensorflow This script removes the background from an input image. You can read more about segmentation here Setup The scr
A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization
University1652-Baseline [Paper] [Slide] [Explore Drone-view Data] [Explore Satellite-view Data] [Explore Street-view Data] [Video Sample] [中文介绍] This
Code for Crowd counting via unsupervised cross-domain feature adaptation.
CDFA-pytorch Code for Unsupervised crowd counting via cross-domain feature adaptation. Pre-trained models Google Drive Baidu Cloud : t4qc Environment
Pytorch codes for Feature Transfer Learning for Face Recognition with Under-Represented Data
FTLNet_Pytorch Pytorch codes for Feature Transfer Learning for Face Recognition with Under-Represented Data 1. Introduction This repo is an unofficial
Shuffle and add items from jellyfin to mpd (use in tandem with jellyfin-mopidy and mpd-mopidy). Similar to ncmpcpp's "Add random" feature..
jellyshuf Essentially implements ncmpcpp's add random feature (default hotkey: `) through a script which grabs info from jellyfin api itself. jellyfin
Virtual Dance Reality Stage is a feature that offers you to share a stage with another user virtually.
Virtual Dance Reality Stage is a feature that offers you to share a stage with another user virtually. It uses the concept of Image Background Removal using DeepLab Architecture (based on Semantic Segmentation), which is a state-of-art DL model from Google Brain.
DeepDiffusion: Unsupervised Learning of Retrieval-adapted Representations via Diffusion-based Ranking on Latent Feature Manifold
DeepDiffusion Introduction This repository provides the code of the DeepDiffusion algorithm for unsupervised learning of retrieval-adapted representat
A C-like hardware description language (HDL) adding high level synthesis(HLS)-like automatic pipelining as a language construct/compiler feature.
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A modular, high performance, headless e-commerce platform built with Python, GraphQL, Django, and React.
Saleor Commerce Customer-centric e-commerce on a modern stack A headless, GraphQL commerce platform delivering ultra-fast, dynamic, personalized shopp
Persistent dict, backed by sqlite3 and pickle, multithread-safe.
sqlitedict -- persistent dict, backed-up by SQLite and pickle A lightweight wrapper around Python's sqlite3 database with a simple, Pythonic dict-like
Redis Python Client - The Python interface to the Redis key-value store.
redis-py The Python interface to the Redis key-value store. Installation | Contributing | Getting Started | Connecting To Redis Installation redis-py
Dungeon Dice Rolls is an aplication that the user can roll dices (d4, d6, d8, d10, d12, d20 and d100) and store the results in one of the 6 arrays.
Dungeon Dice Rolls is an aplication that the user can roll dices (d4, d6, d8, d10, d12, d20 and d100) and store the results in one of the 6 arrays.
A(Sync) Interface for internal Audible API written in pure Python.
Audible Audible is a Python low-level interface to communicate with the non-publicly Audible API. It enables Python developers to create there own Aud
Digdata presented 'BrandX' as a clothing brand that wants to know the best places to set up a 'pop up' store.
Digdata presented 'BrandX' as a clothing brand that wants to know the best places to set up a 'pop up' store. I used the dataset given to write a program that ranks these places.
a practicable framework used in Deep Learning. So far UDL only provide DCFNet implementation for the ICCV paper (Dynamic Cross Feature Fusion for Remote Sensing Pansharpening)
UDL UDL is a practicable framework used in Deep Learning (computer vision). Benchmark codes, results and models are available in UDL, please contact @
Simplest QRGenerator with a cool feature (-sh=True :D)
Simple QR-Codes Generator :D Generates QR-codes, nothing more and nothing less . How to use Just run ./install.sh to set all the dependencies up, th
Implementation of the paper ''Implicit Feature Refinement for Instance Segmentation''.
Implicit Feature Refinement for Instance Segmentation This repository is an official implementation of the ACM Multimedia 2021 paper Implicit Feature
Supplemental learning materials for "Fourier Feature Networks and Neural Volume Rendering"
Fourier Feature Networks and Neural Volume Rendering This repository is a companion to a lecture given at the University of Cambridge Engineering Depa
Does MAML Only Work via Feature Re-use? A Data Set Centric Perspective
Does-MAML-Only-Work-via-Feature-Re-use-A-Data-Set-Centric-Perspective Does MAML Only Work via Feature Re-use? A Data Set Centric Perspective Installin
SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning
SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning This repository is the official implementation of "SHRIMP: Sparser Random Featur
The implementation of the paper "A Deep Feature Aggregation Network for Accurate Indoor Camera Localization".
A Deep Feature Aggregation Network for Accurate Indoor Camera Localization This is the PyTorch implementation of our paper "A Deep Feature Aggregation
This is Official implementation for "Pose-guided Feature Disentangling for Occluded Person Re-Identification Based on Transformer" in AAAI2022
PFD:Pose-guided Feature Disentangling for Occluded Person Re-identification based on Transformer This repo is the official implementation of "Pose-gui
Code of Puregaze: Purifying gaze feature for generalizable gaze estimation, AAAI 2022.
PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation Description Our work is accpeted by AAAI 2022. Picture: We propose a domain-general
The functions we created are included in a script. The necessary parts for pre-processing were taken. Analysis complete.
Feature-Engineering The functions we created are included in a script. The necessary parts for pre-processing were taken. Analysis complete. Business
Joint Detection and Identification Feature Learning for Person Search
Person Search Project This repository hosts the code for our paper Joint Detection and Identification Feature Learning for Person Search. The code is
Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection
fpn.pytorch Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection Introduction This project inherits the property of our pytorc
PyTorch implementation of "Debiased Visual Question Answering from Feature and Sample Perspectives" (NeurIPS 2021)
D-VQA We provide the PyTorch implementation for Debiased Visual Question Answering from Feature and Sample Perspectives (NeurIPS 2021). Dependencies P
Implementation of Pooling by Sliced-Wasserstein Embedding (NeurIPS 2021)
PSWE: Pooling by Sliced-Wasserstein Embedding (NeurIPS 2021) PSWE is a permutation-invariant feature aggregation/pooling method based on sliced-Wasser
TAUFE: Task-Agnostic Undesirable Feature DeactivationUsing Out-of-Distribution Data
A deep neural network (DNN) has achieved great success in many machine learning tasks by virtue of its high expressive power. However, its prediction can be easily biased to undesirable features, which are not essential for solving the target task and are even imperceptible to a human, thereby resulting in poor generalization
Repo to store back end infrastructure for Message in a Bottle
Message in a Bottle Backend API RESTful API for Message in a Bottle frontend application consumption. About The Project • Tools Used • Local Set Up •
A voice assistant which can handle your everyday task and allows you to book items from your favourite store!
Voicely Table of Contents About The Project Built With Getting Started Prerequisites Installation Usage Roadmap Contributing License Contact Acknowled
This code can help you with auto update for-TV-advertisements in the store.
Auto-update-files-for-TV-advertisements-in-the-store This code can help you with auto update for-TV-advertisements in the store. It was write for Rasp
Flexible time series feature extraction & processing
tsflex is a toolkit for flexible time series processing & feature extraction, that is efficient and makes few assumptions about sequence data. Useful
Unsupervised Feature Ranking via Attribute Networks.
FRANe Unsupervised Feature Ranking via Attribute Networks (FRANe) converts a dataset into a network (graph) with nodes that correspond to the features
A play store search module
A play store search module
An API was build with Django to store and retrieve information about various musical instruments.
The project is meant to be a starting point, an experimentation or a basic example of a way to develop an API with Django. It is an exercise on using Django and various python technologies and design methodologies.
File-sharing-Bot: Telegram Bot to store Posts and Documents and it can Access by Special Links.
File-sharing-Bot Telegram Bot to store Posts and Documents and it can Access by Special Links. I Guess This Will Be Usefull For Many People..... 😇 .
PatientDB is a flask app to store patient information.
PatientDB PatientDB on Heroku "PatientDB is a simple web app that stores patient information, able to edit the information, and able to query the data
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
This repository holds the implementation for paper Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach Download our preproc
Resources related to EMNLP 2021 paper "FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations"
FAME: Feature-based Adversarial Meta-Embeddings This is the companion code for the experiments reported in the paper "FAME: Feature-Based Adversarial
A columnar data container that can be compressed.
Unmaintained Package Notice Unfortunately, and due to lack of resources, the Blosc Development Team is unable to maintain this package anymore. During
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.
This repository contains the official implementation code of the paper Transformer-based Feature Reconstruction Network for Robust Multimodal Sentiment Analysis
This repository contains the official implementation code of the paper Transformer-based Feature Reconstruction Network for Robust Multimodal Sentiment Analysis, accepted at ACMMM 2021.
Official Codes for Graph Modularity:Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Neural Networks.
Dynamic-Graphs-Construction Official Codes for Graph Modularity:Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Ne
tsflex - feature-extraction benchmarking
tsflex - feature-extraction benchmarking This repository withholds the benchmark results and visualization code of the tsflex paper and toolkit. Flow
Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis.
Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis. It is distributed under the MIT License.
Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models.
Feature-engine is a Python library with multiple transformers to engineer and select features for use in machine learning models. Feature-engine's transformers follow scikit-learn's functionality with fit() and transform() methods to first learn the transforming parameters from data and then transform the data.
Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.
pyradiomics v3.0.1 Build Status Linux macOS Windows Radiomics feature extraction in Python This is an open-source python package for the extraction of
Python implementation of "Elliptic Fourier Features of a Closed Contour"
PyEFD An Python/NumPy implementation of a method for approximating a contour with a Fourier series, as described in [1]. Installation pip install pyef
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
Feature Engineering & Feature Selection A comprehensive guide [pdf] [markdown] for Feature Engineering and Feature Selection, with implementations and
stability-selection - A scikit-learn compatible implementation of stability selection
stability-selection - A scikit-learn compatible implementation of stability selection stability-selection is a Python implementation of the stability
A fast, flexible, and performant feature selection package for python.
linselect A fast, flexible, and performant feature selection package for python. Package in a nutshell It's built on stepwise linear regression When p
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models. Hyperactive: is very easy to lear
Bringing emacs' greatest feature to neovim - Tetris!
nvim-tetris Bringing emacs' greatest feature to neovim - Tetris! This plugin is written in Fennel using Olical's project Aniseed for creating the proj
Source code for our Paper "Learning in High-Dimensional Feature Spaces Using ANOVA-Based Matrix-Vector Multiplication"
NFFT4ANOVA Source code for our Paper "Learning in High-Dimensional Feature Spaces Using ANOVA-Based Matrix-Vector Multiplication" This package uses th
Predicting the usefulness of reviews given the review text and metadata surrounding the reviews.
Predicting Yelp Review Quality Table of Contents Introduction Motivation Goal and Central Questions The Data Data Storage and ETL EDA Data Pipeline Da
Automated Machine Learning Pipeline for tabular data. Designed for predictive maintenance applications, failure identification, failure prediction, condition monitoring, etc.
Automated Machine Learning Pipeline for tabular data. Designed for predictive maintenance applications, failure identification, failure prediction, condition monitoring, etc.
Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection
SAGA Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection Please refer to the Jupyter notebook (Example.ipynb) for an example of using t
Contrastive Feature Loss for Image Prediction
Contrastive Feature Loss for Image Prediction We provide a PyTorch implementation of our contrastive feature loss presented in: Contrastive Feature Lo
Feature Detection Based Template Matching
Feature Detection Based Template Matching The classification of the photos was made using the OpenCv template Matching method. Installation Use the pa
[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
Context Encoders: Feature Learning by Inpainting CVPR 2016 [Project Website] [Imagenet Results] Sample results on held-out images: This is the trainin
A data preprocessing and feature engineering script for a machine learning pipeline is prepared.
FEATURE ENGINEERING Business Problem: A data preprocessing and feature engineering script for a machine learning pipeline needs to be prepared. It is
Required for a machine learning pipeline data preprocessing and variable engineering script needs to be prepared
Feature-Engineering Required for a machine learning pipeline data preprocessing and variable engineering script needs to be prepared. When the dataset
This is a wonderful simple python tool used to store the keyboard log.
Keylogger This is a wonderful simple python tool used to store the keyboard log. Record your keys. It will capture passwords and credentials in a comp
Encrypted Python Password Manager
PyPassKeep Encrypted Python Password Manager About PyPassKeep (PPK for short) is an encrypted python password manager used to secure your passwords fr
A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines
A Robust Unsupervised Ensemble of Feature-Based Explanations using Restricted Boltzmann Machines Understanding the results of deep neural networks is
Code repo for "FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation" (ICCV 2021)
FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation (ICCV 2021) This repository contains the implementation of th
Apple Store Stock Notifier monitors the availability of selected Apple devices in selected Apple stores, and sends you a notification when devices are available!
Apple Store Stock Notifier This software will immediately send you a notification via Telegram when one of your coveted Apple Devices is available in
kitty - the fast, feature-rich, cross-platform, GPU based terminal
kitty - the fast, feature-rich, cross-platform, GPU based terminal
LOFO (Leave One Feature Out) Importance calculates the importances of a set of features based on a metric of choice,
LOFO (Leave One Feature Out) Importance calculates the importances of a set of features based on a metric of choice, for a model of choice, by iteratively removing each feature from the set, and evaluating the performance of the model, with a validation scheme of choice, based on the chosen metric.
XAI - An eXplainability toolbox for machine learning
XAI - An eXplainability toolbox for machine learning XAI is a Machine Learning library that is designed with AI explainability in its core. XAI contai