Python Predictive-Modeling-Analytics-on-HMEQ-Data- Resources

Social Media Scraper An utility library to scrape data from TikTok, Instagram, Twitch, Youtube, Twitter or Reddit in one line! Go to the website » Vie

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

Documentation Pyraug This library provides a way to perform Data Augmentation using Variational Autoencoders in a reliable way even in challenging con

From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network The official code of VisionLAN (ICCV2021). VisionLAN successfully a

Modeling Category-Selective Cortical Regions with Topographic Variational Autoencoders

A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search

MLOps template with examples for Data pipelines, ML workflow management, API development and Monitoring.

A generic text conversion/processing tool

Script that organizes the Google Takeout archive into one big chronological folder

LeasePlan - Scraper This app will let you continuously scrape certain parts of LeasePlan and extract data of cars becoming available for lease. It has

PyTorch implementation of DUL (Data Uncertainty Learning in Face Recognition, CVPR2020)

DATAWAREHOUSE ON AWS The purpose of this project is to build a datawarehouse to accomodate data of active user activity for music streaming applicatio

Predictive Modeling on Electronic Health Records(EHR) using Pytorch Overview Although there are plenty of repos on vision and NLP models, there are ve

Persian Kaldi Profile A Rhasspy profile for Persian (fa). Installation Get started by first installing Vosk: # Create virtual environment python3 -m v

BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation A pytorch-version implementation

WhiteBox Utilities Toolkit: Tools to make your life easier Fancy data functions that will make your life as a data scientist easier. Installing To ins

Exploratory Data Analysis for Employee Retention Dataset Employee turn-over is a very costly problem for companies. The cost of replacing an employee

Graphsignal is a machine learning model monitoring platform. It helps ML engineers, MLOps teams and data scientists to quickly address issues with data and models as well as proactively analyze model performance and availability.

Data Efficient Decision Making

Python Repositori ini berisi kumpulan dari berbagai macam contoh struktur data, algoritma dan komputasi matematika yang diimplementasikan dengan mengg

Project Azua 0. Overview Many modern AI algorithms are known to be data-hungry, whereas human decision-making is much more efficient. The human can re

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

Angora Angora is a mutation-based coverage guided fuzzer. The main goal of Angora is to increase branch coverage by solving path constraints without s

PyVideo Speakers A CLI that visualises repeat speakers from events listed in https://github.com/pyvideo/data Not terribly efficient, but you know. Ins

Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit.

wyscoutapi wyscoutapi is an extremely basic API client for the Wyscout API (v2 & v3). Usage Install with pip install wyscoutapi. To connect to the Wys

Tickergram is a Telegram bot to look up quotes, charts, general market sentiment and more.

Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to the cloud. ☁️

ThousandEyes Grafana Dashboard Extract data from the ThousandEyes REST API and visualize it on your customized Grafana Dashboard. Deploy Grafana, Infl

Why efficient Python? Because using Python more efficiently will make your code more readable and run more efficiently.

Genomic ULMFiT This is an implementation of ULMFiT for genomics classification using Pytorch and Fastai. The model architecture used is based on the A

DSA-Code-Snippet This repository is for adding codes of data structures and algorithms, leetCode, hackerrank etc solutions in different languages Cont

Python DSA 🐍 This repository is a compilation of important Data Structures and Algorithms based on Python. Please make seperate folders for different

Vectorizers for a range of different data types

deep-table implements various state-of-the-art deep learning and self-supervised learning algorithms for tabular data using PyTorch.

Social Media Focal Events The focalevents codebase provides tools for organizing data collected around focal events on social media. It is often diffi

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

Data lineage made simple, reliable, and automated. Effortlessly track the flow of data, understand dependencies and analyze impact. Features Visualiza

Unseen Object Amodal Instance Segmentation (UOAIS) Seunghyeok Back, Joosoon Lee, Taewon Kim, Sangjun Noh, Raeyoung Kang, Seongho Bak, Kyoobin Lee This

Abstract DeeProb-kit is a Python library that implements deep probabilistic models such as various kinds of Sum-Product Networks, Normalizing Flows an

EPCDepth EPCDepth is a self-supervised monocular depth estimation model, whose supervision is coming from the other image in a stereo pair. Details ar

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

PyNeuro PyNeuro is designed to connect NeuroSky's MindWave EEG device to Python and provide Callback functionality to provide data to your application

This YoloV5 based model is fit to detect people and different types of land vehicles, and displaying their density on a fitted map, according to their

A PyTorch repo for data loading and utilities to be shared by the PyTorch domain libraries.

AutoTabular automates machine learning tasks enabling you to easily achieve strong predictive performance in your applications. With just a few lines of code, you can train and deploy high-accuracy machine learning and deep learning models tabular data.

face.evoLVe: High-Performance Face Recognition Library based on PaddlePaddle & PyTorch Evolve to be more comprehensive, effective and efficient for fa

Differentiable Architecture Search Code accompanying the paper DARTS: Differentiable Architecture Search Hanxiao Liu, Karen Simonyan, Yiming Yang. arX

Imbalanced Dataset Sampler Introduction In many machine learning applications, we often come across datasets where some types of data may be seen more

D2L.ai: Interactive Deep Learning Book with Multi-Framework Code, Math, and Discussions Book website | STAT 157 Course at UC Berkeley | Latest version

Hierarchical neural-net interpretations (ACD) 🧠 Produces hierarchical interpretations for a single prediction made by a pytorch neural network. Offic

Correlation Explanation Methods Official implementation of linear correlation explanation (linear CorEx) and temporal correlation explanation (T-CorEx

UpliftML is a Python package for scalable unconstrained and constrained uplift modeling from experimental data. To accommodate working with big data, the package uses PySpark and H2O models as base learners for the uplift models. Evaluation functions expect a PySpark dataframe as input.

IGMTF The source code and data of the paper "Instance-wise Graph-based Framework for Multivariate Time Series Forecasting". Requirements The framework

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

🔧 What is it? Wrench is a benchmark platform containing diverse weak supervision tasks. It also provides a common and easy framework for development

Code and data to accompany the camera-ready version of "Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation" in EMNLP 2021

Pro Football Reference Game Data Webscraper Code Copyright Yeetzsche This is a simple Pro Football Reference Webscraper that can either collect all ga

Here, you can find the code for the paper 'Real-Time Multi-Contact Model Predictive Control via ADMM'. Code is currently being cleared up and optimize

Domino Research This repo contains projects under active development by the Domino R&D team. We build tools that help Data Scientists and ML engineers

BERT Got a Date: Introducing Transformers to Temporal Tagging Satya Almasian*, Dennis Aumiller*, and Michael Gertz Heidelberg University Contact us vi

pyspark-anonymizer Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark envir

TrellisNet for Sequence Modeling This repository contains the experiments done in paper Trellis Networks for Sequence Modeling by Shaojie Bai, J. Zico

Sequence Modeling Benchmarks and Temporal Convolutional Networks (TCN) This repository contains the experiments done in the work An Empirical Evaluati

My solution for the Meli Data Challenge 2021

The PASS dataset: pretrained models and how to get the data - PASS: Pictures without humAns for Self-Supervised Pretraining

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

NaNsAreNumbers An esoteric data type built entirely of NaNs. Installation pip install nans_are_numbers Explanation A floating point number is just co

With DataQA, you can label unstructured text documents using rule-based distant supervision.

Speaker-Embeddings-Correlation-Pooling This is the original implementation of the pooling method introduced in "Speaker embeddings by modeling channel

Pytorch Squeeznet Pytorch implementation of Squeezenet model as described in https://arxiv.org/abs/1602.07360 on cifar-10 Data. The definition of Sque

Pytorch Recurrent Variational Autoencoder Model: This is the implementation of Samuel Bowman's Generating Sentences from a Continuous Space with Kim's

Anchored CorEx: Hierarchical Topic Modeling with Minimal Domain Knowledge Correlation Explanation (CorEx) is a topic model that yields rich topics tha

TextAttack 🐙 Generating adversarial examples for NLP models [TextAttack Documentation on ReadTheDocs] About • Setup • Usage • Design About TextAttack

Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in yo

Model Agnostic Confidence Estimator (MACEST) - A Python library for calibrating Machine Learning models' confidence scores

This cheat sheet will help you learn PySpark and write PySpark apps faster. Everything in here is fully functional PySpark code you can run or adapt to your programs.

Geometry Sketcher Constraint-based sketcher addon for Blender that allows to create precise 2d shapes by defining a set of geometric constraints like

TorchGeo is a PyTorch domain library, similar to torchvision, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data.

The project is investigating methods to extract human-marked data from document forms such as surveys and tests. They can read questions, multiple-choice exam papers, and grade.

Linked Data are becoming more popular for user-created metadata in HDF5 files.

django-web-profiler's documentation: Introduction: django-web-profiler is a django profiling tool which logs, stores debug toolbar statistics and also

django-analytical The django-analytical application integrates analytics services into a Django project. Using an analytics service with a Django proj

Welcome to hltv-data 👋 🎮 Data from popular CS:GO website hltv.org Install pip install hltv-data Usage The public methods can be reached using HLTVCl

obsidiantools is a Python package for getting structured metadata about your Obsidian.md notes and analysing your vault.

iris Overview This is your new Kedro project, which was generated using Kedro 0.17.4. Take a look at the Kedro documentation to get started. Rules and

django-dashing django-dashing is a customisable, modular dashboard application framework for Django to visualize interesting data about your project.

Amber Electric Usage Summary This is a command line tool that produces a summary CSV report of an Amber Electric customer's energy consumption and cos

Rocket-Classify Rafael Project- Classifying rockets to different types using data science algorithms. In this project we received data base with data

InsGen - Data-Efficient Instance Generation from Instance Discrimination Data-Efficient Instance Generation from Instance Discrimination Ceyuan Yang,

Real2CAD-3DV Shape Matching of Real 3D Object Data to Synthetic 3D CADs (3DV project @ ETHZ) Group Member: Yue Pan, Yuanwen Yue, Bingxin Ke, Yujie He

Open House London listings data All of it. Automatically scraped hourly with updates committed to git, autogenerated per-day CSV's, and autogenerated

Python module ordered ordered module is the opposite to random - it maintains order in the program. import random x = 5 def increase(): global x

streamdf Streamdf is a lightweight data frame library built on top of the dictionary of numpy array, developed for Kaggle's time-series code competiti

CS 506 - Computational Tools for Data Science Code, slides, and notes for Boston University CS506 Fall 2021 The Final Project Repository can be found

Cassiopeia A Python adaptation of the Riot Games League of Legends API (https://developer.riotgames.com/). Cassiopeia is the sister library to Orianna

Made With ML Applied ML · MLOps · Production Join 30K+ developers in learning how to responsibly deliver value with ML. 🔥 Among the top MLOps reposit

Visions And these visions of data types, they kept us up past the dawn. Visions provides an extensible suite of tools to support common data analysis

Python Mini Projects A collection of easy Python small projects to help you improve your programming skills. Table Of Contents Aim Of The Project Cont

DegiroAPI An unofficial API for the trading platform Degiro written in Python with the ability to get real time data and historical data for products.