Python Dimension-Reduced-Turbulent-Flow-Data-From-Deep-Vector-Quantizers Resources

PYGA: Python Google Analytics - Data Collection API pyga is an implementation of Google Analytics (ga.js) in Python; so that it can be used at server

LineFlow: Framework-Agnostic NLP Data Loader in Python LineFlow is a simple text dataset loader for NLP deep learning tasks. LineFlow was designed to

Object data mapper and advanced query manager for non relational databases. The data is owned by different, configurable back-end databases and it is

Welcome to Spokestack Python! This library is intended for developing voice interfaces in Python. This can include anything from Raspberry Pi applicat

A Pytorch Implementation of Source Data-free Domain Adaptation for a Faster R-CNN Please follow Faster R-CNN and DAF to complete the environment confi

A Pytorch Implementation of Source data‐free domain adaptation of object detector through domain‐specific perturbation Please follow Faster R-CNN and

signac - simple data management The signac framework helps users manage and scale file-based workflows, facilitating data reuse, sharing, and reproduc

LynxKite is a complete graph data science platform for very large graphs and other datasets. It seamlessly combines the benefits of a friendly graphical interface and a powerful Python API.

PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.

Picka: A Python module for data generation and randomization. Author: Anthony Long Version: 1.0.1 - Fixed the broken image stuff. Whoops What is Picka

Kotori Telemetry data acquisition and sensor networks for humans. Documentation: https://getkotori.org/ Source Code: https://github.com/daq-tools/koto

Terkin Data logging for humans, written in MicroPython. Documentation: https://terkin.org/ Source Code: https://github.com/hiveeyes/terkin-datalogger

FauxFactory FauxFactory generates random data for your automated tests easily! There are times when you're writing tests for your application when you

About Zen-Knit: Zen-Knit is a formal (PDF), informal (HTML) report generator for data analyst and data scientist who wants to use python. Inspired fro

CoG-BART Contrast and Generation Make BART a Good Dialogue Emotion Recognizer Quick Start: To run the model on test sets of four datasets, Download th

This application works with serial communication. Use a simple gui to send and receive serial data from arduino and control leds and motor direction

SEOVER-Master This code is the implementation of paper： SEOVER: Sentence-level Emotion Orientation Vector based Conversation Emotion Recognition Model

The neural architecture of language: Integrative modeling converges on predictive processing Code accompanying the paper The neural architecture of la

DHAP Source code of SIGIR2021 Long Paper: One Chatbot Per Person: Creating Personalized Chatbots based on Implicit User Profiles . Preinstallation Fir

WeaSEL: Weakly Supervised End-to-end Learning This is a PyTorch-Lightning-based framework, based on our End-to-End Weak Supervision paper (NeurIPS 202

pysal/spaghetti SPAtial GrapHs: nETworks, Topology, & Inference Spaghetti is an open-source Python library for the analysis of network-based spatial d

Practical Data Visualization with Python Overview All views expressed on this site are my own and do not represent the opinions of any entity with whi

SVGIS Create SVG drawings from vector geodata files (SHP, geojson, etc). SVGIS is great for: creating small multiples, combining lots of datasets in a

Sanitize sanitize is a Python module for making sure various things (e.g. HTML) are safe to use. It was originally written by Mark Pilgrim and is dist

tfgraphviz tfgraphviz is a module to visualize a TensorFlow's data flow graph like TensorBoard using Graphviz. tfgraphviz enables to provide a visuali

neptune-contrib Documentation See neptune-contrib documentation site Installation Get prerequisites python versions 3.5.6/3.6 are supported Install li

Logo by Zhuoning Yuan LibAUC: A Machine Learning Library for AUC Optimization Website | Updates | Installation | Tutorial | Research | Github LibAUC a

Data-Structure-With-Python- Python programs also include in this repo Stack A stack is a linear data structure that stores items in a Last-In/First-Ou

XE-Ops View operational and config data from devices running Cisco IOS-XE software. NoteS The build folder is the latest build. All other files are fo

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python) 日本語は以下に続きます (Japanese follows) English: This book is written in Japanese and primaril

Install with: pip install shimoku-api-python Start with: from os import getenv import shimoku_api_python.client as Shimoku

SFM SOCK A websocket client for Source Filmmaker intended to trasmit scene and frame data to other applications. This software can be used to transmit

680 Final Project: BicycleGAN Haoran Tang Instructions 1. Training To train the network, please run train.py. Change hyper-parameters and folder paths

546 Final Project: Masked Autoencoder Haoran Tang, Qirui Wu 1. Training To train the network, please run mae_pretraining.py. Please modify folder path

PROGRAM INPUT NILAI MAHASISWA MENGGUNAKAN OOP PENGERTIAN OOP object-oriented-programing/OOP adalah paradigma pemrograman berdasarkan konsep "objek", y

BioThings SDK Quick Summary BioThings SDK provides a Python-based toolkit to build high-performance data APIs (or web services) from a single data sou

qpcr-Analyser A web-based GUI for the qpcr package that allows easy, simple and high-throughput analysis of qPCR data. As is described in more detail

This repository contains sample code scripts for creating awesome data visualizations from scratch using different python libraries (such as matplotli

discretisedfield Marijan Beg1,2, Martin Lang2, Samuel Holt3, Ryan A. Pepper4, Hans Fangohr2,5,6 1 Department of Earth Science and Engineering, Imperia

Cross-framework Python Package for Evaluation of Latent-based Generative Models Latte Latte (for LATent Tensor Evaluation) is a cross-framework Python

animation-with-keypoint-mask Paper The right most square is the final result. Softmax mask (circles): \ Heatmap mask: \ conda env create -f environmen

Semantic correspondence Few-shot segmentation Cost Aggregation Is All You Need for Few-Shot Segmentation For more information, check out project [Proj

Data Extractor Combine XPath, CSS Selectors and JSONPath for Web data extracting. Quickstarts Installation Install the stable version from PYPI. pip i

JSONPATH A selector expression for extracting data from JSON. Quickstarts Installation Install the stable version from PYPI. pip install jsonpath-extr

ElasticBatch Elasticsearch buffer for collecting and batch inserting Python data and pandas DataFrames Overview ElasticBatch makes it easy to efficien

HotBits Python API Python API for HotBits random data generator. Description This project is random data generator. It uses is HotBits API web service

Redash is designed to enable anyone, regardless of the level of technical sophistication, to harness the power of data big and small. SQL users levera

Neural Enhance Example #1 — Old Station: view comparison in 24-bit HD, original photo CC-BY-SA @siv-athens. As seen on TV! What if you could increase

BONITA-Python3 BONITA was originally written in Python 2 and tested with Python 2-compatible packages. This version of the packages ports BONITA to Py

Sieve Video Data Collection Example Find samples that are interesting within hours of raw video, for free and completely automatically using Sieve API

MOSNet pytorch implementation of "MOSNet: Deep Learning based Objective Assessment for Voice Conversion" https://arxiv.org/abs/1904.08352 Dependency L

TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Paper Website Documentation TeachMyAgent is a testbed platform for Automatic Cu

Open Compound Domain Adaptation [Project] [Paper] [Demo] [Blog] Overview Open Compound Domain Adaptation (OCDA) is the author's re-implementation of t

MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks This is the code for the paper: MentorNet: Learning Data-Driven Curriculum fo

AdaptationSeg This is the Python reference implementation of AdaptionSeg proposed in "Curriculum Domain Adaptation for Semantic Segmentation of Urban

doccano doccano is an open source text annotation tool for humans. It provides annotation features for text classification, sequence labeling and sequ

AKShare is an elegant and simple financial data interface library for Python, built for human beings

growth-data Tools and data for measuring the popularity & growth of various programming languages. Install the dependencies $ pip install -r requireme

Population Shift Monitoring popmon is a package that allows one to check the stability of a dataset. popmon works with both pandas and spark datasets.

ONNX Runtime is a cross-platform inference and training machine-learning accelerator. ONNX Runtime inference can enable faster customer experiences an

PersonLab This is a Keras implementation of PersonLab for Multi-Person Pose Estimation and Instance Segmentation. The model predicts heatmaps and vari

Super-SloMo PyTorch implementation of "Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation" by Jiang H., Sun

CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

Visual Attributes in the Wild (VAW) This repository provides data for the VAW dataset as described in the CVPR 2021 Paper: Learning to Predict Visual

NNHedge NNHedge is a PyTorch based framework for Neural Derivative Hedging. The following repository was implemented to ease the experiments of our pa

StyleSwin This repo is the official implementation of "StyleSwin: Transformer-based GAN for High-resolution Image Generation". By Bowen Zhang, Shuyang

databooks is a package for reducing the friction data scientists while using Jupyter notebooks, by reducing the number of git conflicts between different notebooks and assisting in the resolution of the conflicts.

RNN-MBP Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring (AAAI-2022) by Chao Zhu, Hang Dong, Jinshan Pan

Source code of the paper "Deep Learning of Latent Variable Models for Industrial Process Monitoring".

Lens by Credo AI - Responsible AI Assessment Framework Lens is a comprehensive assessment framework for AI systems. Lens standardizes model and data a

gdsclient NOTE: This is a work in progress and many GDS features are known to be missing or not working properly. This repo hosts the sources for gdsc

Zero to Mastery Machine Learning Welcome! This repository contains all of the code, notebooks, images and other materials related to the Zero to Maste

Jogo da Segurança das Indústrias Acme Descrição Este jogo faz parte do projeto de entrega do primeiro módulo da Resilia Educação, referente ao curso d

Discord DataExtractor 🔮 Discord DataExtractor is a set of scripts that allows you to dig into your Discord Data package. Repository guide ☕ Coffee_Ga

ConnectMP - Taking Multi-Process Data Sharing to the moon 🚀 Contribute · Community · Documentation 🎫 Introduction : 🍤 ConnectMP is the easiest and

gdsclient This repo hosts the sources for gdsclient, a Python wrapper API for operating and working with the Neo4j Graph Data Science (GDS) library. g

CrossSum This repository contains the code, data, and models of the paper titled "CrossSum: Beyond English-Centric Cross-Lingual Abstractive Text Summ

Tensorflow Implementation for "Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion Recognition" Pre-trained Deep Convo

Machine Learning Model in Production This git is for those who have concern about serving your machine learning model to production. Overview The tuto

GLIDE This is the official codebase for running the small, filtered-data GLIDE model from GLIDE: Towards Photorealistic Image Generation and Editing w

Deep AutoViML Pipeline for orchest.io Quickstart Build Deep Learning models with a single line of code: deep_autoviml Deep AutoViML helps you build te

Well-formed Limericks and Haikus with GPT2 📜 GPT-2 Rhyming Limerick and Haiku models using data augmentation In collaboration with Matthew Korahais &

brewhouse-management A desktop application developed in Python with PyQt5 to predict demand and help monitor and schedule brewing processes for Barnab

De(e)pendable Distributed Control of Port-Hamiltonian Systems (DeepDisCoPH) This repository is associated to the paper [1] and it contains: The full p

Welcome to your CDK Python project! This is a blank project for Python development with CDK. The cdk.json file tells the CDK Toolkit how to execute yo

SOFAR Inverter + LSW-3/LSE Small utility to read data from SOFAR K-TLX inverters through the Solarman (LSW-3/LSE) datalogger. Two scripts to get inver

PPO-based Autonomous Navigation for Quadcopters This repository contains an implementation of Proximal Policy Optimization (PPO) for autonomous naviga

Code repository accompanying our work on 'Improving GNSS Positioning using Neural Network-based Corrections'. In this paper, we present a Deep Neural

quake2021 Data and analysis relating to the 5.8M Melbourne quake of 2021 Monash University Woodside Living Lab Building The building is located here T

aiohttp-demos Demos for aiohttp project. Contents Imagetagger Deep Learning Image Classifier URL shortener Toxic Comments Classifier Moderator Slack B

Data Explorer Interactively explore your data directly in atom with hydrogen! The nteract data-explorer provides automatic data visualization, so you

naniar naniar provides principled, tidy ways to summarise, visualise, and manipulate missing data with minimal deviations from the workflows in ggplot

frugally-deep Use Keras models in C++ with ease Table of contents Introduction Usage Performance Requirements and Installation FAQ Introduction Would

Description Data augmentation libarary for Deep Learning, which supports images, segmentation masks, labels and keypoints. Furthermore, SOLT is fast a

Fonduer is a Python package and framework for building knowledge base construction (KBC) applications from richly formatted data. Note that Fonduer is

Simple Gadget Collection for Object Detection Tasks Automatic image annotation Conversion between different annotation formats Obtain statistical info

crawler_to_visual_gmane Analyzing an EMAIL Archive from gmane and vizualizing the data using the D3 JavaScript library. This is a set of tools that al

base on browser-time to get har from network, and use python to analyze the data

QQ-Plot 2 Sample Just a gist to include the custom code to draw a qq-plot in python when dealing with a "two sample problem". This means when u try to

README This script provides LIVE feedback for On-The-Fly data collection with RELION (very useful to explore already processed datasets too!) Creating