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

Introduction QRec is a Python framework for recommender systems (Supported by Python 3.7.4 and Tensorflow 1.14+) in which a number of influential and

ncnn ncnn is a high-performance neural network inference computing framework optimized for mobile platforms. ncnn is deeply considerate about deployme

Deep Hedging Demo Pricing Derivatives using Machine Learning 1) Jupyter version: Run ./colab/deep_hedging_colab.ipynb on Colab. 2) Gui version: Run py

No-Transaction Band Network: A Neural Network Architecture for Efficient Deep Hedging Minimal implementation and experiments of "No-Transaction Band N

PFHedge: Deep Hedging in PyTorch PFHedge is a PyTorch-based framework for Deep Hedging. PFHedge Documentation Neural Network Architecture for Efficien

CATs: Cost Aggregation Transformers for Visual Correspondence NeurIPS'21 For more information, check out the paper on [arXiv]. Training with different

ElegantRL “小雅”: Scalable and Elastic Deep Reinforcement Learning ElegantRL is developed for researchers and practitioners with the following advantage

Weather Underground → Influx DB 🌤 Serverless function for replicating Weather U

Tokern Lineage Engine Tokern Lineage Engine is fast and easy to use application to collect, visualize and analyze column-level data lineage in databas

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

xpdt: eXPeditious Data Transfer About xpdt is (yet another) language for defining data-types and generating code for serializing and deserializing the

Numerical Bric-a-Brac Collections of numerical techniques with Python and standard computational packages (Numpy, SciPy, Numba, Matplotlib ...). Diffe

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

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

timeseries-generator This repository consists of a python packages that generates synthetic time series dataset in a generic way (under /timeseries_ge

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.

cfdm A Python reference implementation of the CF data model. References Compliance with FAIR principles Documentation https://ncas-cms.github.io/cfdm

Author: Behrouz Safari License: MIT sdss A python package for retrieving and analysing data from SDSS (Sloan Digital Sky Survey) Installation Install

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 Python Practicum - prepare for your Data Science interview or get a refresher. Data Data visualization using data on births from the

Hypercomplex A Python library for working with quaternions, octonions, sedenions, and beyond following the Cayley-Dickson construction of hypercomplex

Yahoo! Finance-ng python3 / pandas market data downloader Ever since Yahoo! finance decommissioned their historical data API, many programs that relie

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

Finding data is one thing. Getting it ready for analysis is another. Acquiring, cleaning, standardizing and importing publicly available data is time

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

Smiley Face Cube Display Table of Contents Project Description Getting Started Prerequisites Installation & Deployment Additional Documentation Projec

☁ Synoptic API for Python (unofficial) The Synoptic Mesonet API (formerly MesoWest) gives you access to real-time and historical surface-based weather

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

igdb-pdt Update RediSearch with IGDB games data in the following Format: { "game_slug": { "name": "game_name", "cover": "igdb_coverart_url",

O-OFDMNet This includes Python implementation of O-OFDMNet, a deep learning-based optical OFDM system, which uses neural networks for signal processin

PyGeoShape 3D extension to shapely and pyproj to make working with geospatial/trajectory data easier in python. Getting Started Installation pip The e

CutPaste CutPaste: image from paper Unofficial implementation of Google's "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization"

pv_predict_unet-lstm Code for "Intra-hour Photovoltaic Generation Forecasting based on Multi-source Data and Deep Learning Methods." IEEE Transactions

Data Science Gurukul List of resources, interview questions, concepts I use for my Data Science work. Topics: Basics of Programming with Python + Unde

Notebooks A NASA MEaSUREs project to provide automated, low latency, global glacier flow and elevation change datasets This repository provides tools

tvbuddy Aggregate real-time market data from cryptocurrency exchanges, filter, sort and format as TradingView watchlists. Developed and tested on Pyth

Deep Semisupervised Multiview Learning With Increasing Views (ISVN, IEEE TCYB) Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin, Huaibai Yan, Dez

Python wrapper for Xeno-canto API 2.0. Enables downloading bird data with one command line. Supports multithreading

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

IMPROVING DEEP IMAGE MATTING VIA LOCAL SMOOTHNESS ASSUMPTION This is the official repository of IMPROVING DEEP IMAGE MATTING VIA LOCAL SMOOTHNESS ASSU

Multi-Image vqa @authors: Akhilesh, Janhavi, Harsh Paper summary, Ideas tried and their corresponding results: on wiki Other discussions: on discussio

NeoDTI NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions (Bioinformatics).

SelfTask-GNN A PyTorch implementation of "Self-supervised Learning on Graphs: Deep Insights and New Directions". [paper] In this paper, we first deepe

DrRepair: Learning to Repair Programs from Error Messages This repo provides the source code & data of our paper: Graph-based, Self-Supervised Program

Official PyTorch implementation of the paper: "Self-Supervised Relational Reasoning for Representation Learning" (2020), Patacchiola, M., and Storkey,

Shuffle and Learn (Shuffle Tuple) Created by Ishan Misra Based on the ECCV 2016 Paper - "Shuffle and Learn: Unsupervised Learning using Temporal Order

SfMLearner This codebase implements the system described in the paper: Unsupervised Learning of Depth and Ego-Motion from Video Tinghui Zhou, Matthew

Geometry-Aware Learning of Maps for Camera Localization This is the PyTorch implementation of our CVPR 2018 paper "Geometry-Aware Learning of Maps for

Descriptor Vector Exchange This repo provides code for learning dense landmarks without supervision. Our approach is described in the ICCV 2019 paper

Deep Learning Training Scripts DNN Frameworks Caffe PyTorch Tensorflow CNN Models VGG ResNet DenseNet Inception Language Modeling GatedCNN-LM Attentio

World Religion Data Visualization Visualization of the World Religion Data dataset by Correlates of War Project. Mostly personal project to famirializ

Analysing aggregated UK polling data The tweet collection & storage pipeline used in email-service is used to also collect tweets from @britainelects.

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

Official repository of the paper Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis Jungil Kong, Jaehyeon Kim, Jaekyoung Bae In our paper, we p

Monopol Indonesian Car License Plate (Indonesia Mobil Nomor Polisi) Character Recognition using Tensorflow, Keras and OpenCV. Background This applicat

English | 中文 Features 🌍 Chinese supported mandarin and tested with multiple datasets: aidatatang_200zh, magicdata, aishell3, data_aishell, and etc. ?

r.sim.terrain A short-term landscape evolution model that simulates topographic change for both steady state and dynamic flow regimes across a range o

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 is an open source standard for data and ML logging whylogs logging agent is the easiest

tedana: TE Dependent ANAlysis TE-dependent analysis (tedana) is a Python library for denoising multi-echo functional magnetic resonance imaging (fMRI)

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

Movies-ETL ETL pipeline on movie data using Python and postgreSQL Overview This project consisted on a automated Extraction, Transformation and Load p

DeepJ: A model for style-specific music generation https://arxiv.org/abs/1801.00887 Abstract Recent advances in deep neural networks have enabled algo

Embeddings Embeddings is a python package that provides pretrained word embeddings for natural language processing and machine learning. Instead of lo

Easily Extendable Basic Deep Metric Learning Pipeline Karsten Roth ([email protected]), Biagio Brattoli ([email protected]) When using thi

News December 27: v1.1.0 New loss functions: CentroidTripletLoss and VICRegLoss Mean reciprocal rank + per-class accuracies See the release notes Than

The Ultimate PyTorch Source-Build Template Translations: 한국어 TL;DR PyTorch built from source can be x4 faster than a naïve PyTorch install. This repos

MetaMove MetaMove is written in Python3 and aims at easing batch renaming operations based on file meta data. MetaMove abuses eval combined with f-str

2021: A Year Full of Amazing AI papers- A Review 📌 A curated list of the latest breakthroughs in AI by release date with a clear video explanation, l

BBC-News-Analyzer An extensive UI tool built using new data scraped from BBC New

Micro Data Lake based on Docker Compose This is the implementation of a Minimum Data Lake

NMDC Server and Client Portal Getting started with Docker install ldc install submodules via git submodule update --init --recursive In order to popul

simple-report-data-table-vuetify A simple web to serve data table. It is built with Vuetify, Vue, FastApi. The main features: RBAC with casbin simple

Ergo Intelligence Objective Provide a suite of easy-to-use toolkits, guides, and resources for blockchain analysts and data scientists to quickly unde

Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size. The hub data layout enables rapid transformations and streaming of data while training models at scale. Hub is used by Google, Waymo, Red Cross, Oxford University, and Omdena.

Humana-Mays-2021-HealthCare-Analytics-Case-Competition- The goal of the project is to utilize data analytics skills to solve real-world business probl

Logistic-Regression Problem Statement: Your client is a retail banking institution. Term deposits are a major source of income for a bank. A term depo

commodities-dashboard A simply dashboard to view commodities position data based on CFTC reports This is a python project using Dash and plotly to con

HinetPy is a Python package to simplify tedious data request, download and format conversion tasks related to NIED Hi-net. NIED Hi-net | Source Code |

Pyfood is a simple Python package to process food, in different languages. Pyfood's ambition is to be the go-to library to deal with food, recipes, on

pytorch_clip_bbox: Implementation of the CLIP guided bbox ranking for Object Detection. Pytorch based library to rank predicted bounding boxes using t

ONNX Command Line Toolbox Aims to improve your experience of investigating ONNX models. Use it like onnx infershape /path/to/model.onnx. (See the usag

RecoEdge: Bringing Recommendations to the Edge A one stop solution to build your recommendation models, train them and, deploy them in a privacy prese

VQGAN-CLIP-Video cat.mp4 policeman.mp4 schoolboy.mp4 forsenBOG.mp4

Pango lineage information for German SARS-CoV-2 sequences This repository contains a join of the metadata and pango lineage tables of all German SARS-

faces_detanator High accurate tool for automatic faces detection with landmarks. The library is based on public detectors with high accuracy (TinaFace

PIXOR: Real-time 3D Object Detection from Point Clouds This is a custom implementation of the paper from Uber ATG using PyTorch 1.0. It represents the

Python-Steganography Python Steganography data hiding in image data encryption and decryption im here you have to import stepic module 1.open CMD 2.ty

RCDNet: A Model-driven Deep Neural Network for Single Image Rain Removal (CVPR2020) Hong Wang, Qi Xie, Qian Zhao, and Deyu Meng [PDF] [Supplementary M

DataComPy DataComPy is a package to compare two Pandas DataFrames. Originally started to be something of a replacement for SAS's PROC COMPARE for Pand

Overview BisQue is a web-based platform specifically designed to provide researchers with organizational and quantitative analysis tools for up to 5D

pySerialTransfer Python package to transfer data in a fast, reliable, and packetized form.

Run python scripts and pass data between multiple python and node processes using this npm module. process-communication has a event based architecture for interacting with python data and errors inside nodejs.

Allen Institute Visual Behavior Analysis package This repository contains code for analyzing behavioral data from the Allen Brain Observatory: Visual

Instagram-Unfollower-Bot Instagram unfollowing bot. If this script is executed that specific accounts following will be reduced.

Face-Detection-flask-gunicorn-nginx-docker This is a simple implementation of dockerized face-detection restful-API implemented with flask, Nginx, and

Brownant Brownant is a lightweight web data extracting framework. Who uses it? At the moment, dongxi.douban.com (a.k.a. Douban Dongxi) uses Brownant i

Lightweight experiment tracking tool for AI/ML individuals and teams. Fits any workflow. Neptune is a lightweight experiment logging/tracking tool tha