957 Repositories
Python world-time Libraries
Object tracking and object detection is applied to track golf puts in real time and display stats/games.
Putting_Game Object tracking and object detection is applied to track golf puts in real time and display stats/games. Works best with the Perfect Prac
Time-series momentum for momentum investing strategy
Time-series-momentum Time-series momentum strategy. You can use the data_analysis.py file to find out the best trigger and window for a given asset an
Source code for "FastBERT: a Self-distilling BERT with Adaptive Inference Time".
FastBERT Source code for "FastBERT: a Self-distilling BERT with Adaptive Inference Time". Good News 2021/10/29 - Code: Code of FastPLM is released on
TensorFlow (Python) implementation of DeepTCN model for multivariate time series forecasting.
DeepTCN TensorFlow TensorFlow (Python) implementation of multivariate time series forecasting model introduced in Chen, Y., Kang, Y., Chen, Y., & Wang
Multi-path load balancing is a method used by most of the real-time network to split the packets into different paths rather than transferring it through a single path
Multipath-Load-Balancing Method of managing incoming traffic by distributing and sharing load fairly among multiple routes from source to destination
Fast and robust clustering of point clouds generated with a Velodyne sensor.
Depth Clustering This is a fast and robust algorithm to segment point clouds taken with Velodyne sensor into objects. It works with all available Velo
Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification
PPML-TSA This repository provides all code necessary to reproduce the results reported in our paper Evaluating Privacy-Preserving Machine Learning in
Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
Conformal time-series forecasting Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021. If you use our code in yo
Official implementation for TTT++: When Does Self-supervised Test-time Training Fail or Thrive
TTT++ This is an official implementation for TTT++: When Does Self-supervised Test-time Training Fail or Thrive? TL;DR: Online Feature Alignment + Str
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms
MatrixProfile MatrixProfile is a Python 3 library, brought to you by the Matrix Profile Foundation, for mining time series data. The Matrix Profile is
Adjusting for Autocorrelated Errors in Neural Networks for Time Series
Adjusting for Autocorrelated Errors in Neural Networks for Time Series This repository is the official implementation of the paper "Adjusting for Auto
Long Expressive Memory (LEM)
Long Expressive Memory for Sequence Modeling This repository contains the implementation to reproduce the numerical experiments of the paper Long Expr
Official repository of "Investigating Tradeoffs in Real-World Video Super-Resolution"
RealBasicVSR [Paper] This is the official repository of "Investigating Tradeoffs in Real-World Video Super-Resolution, arXiv". This repository contain
Real-time VIBE: Frame by Frame Inference of VIBE (Video Inference for Human Body Pose and Shape Estimation)
Real-time VIBE Inference VIBE frame-by-frame. Overview This is a frame-by-frame inference fork of VIBE at [https://github.com/mkocabas/VIBE]. Usage: i
tradingview socket api for fetching real time prices.
tradingView-API tradingview socket api for fetching real time prices. How to run git clone https://github.com/mohamadkhalaj/tradingView-API.git cd tra
A collection of software that serve no purpose other than waste your time. Forking is encouraged!
the-useless-collection A collection of software that serve no purpose other than waste your time. Forking is encouraged! Requires Python 3.9. Usage Go
New time-based UUID formats which are suited for use as a database key
uuid6 New time-based UUID formats which are suited for use as a database key. This module extends immutable UUID objects (the UUID class) with the fun
ESP32 recording button presses, and serving webpage that graphs the numbers over time.
ESP32-IoT-button-graph-test ESP32 recording button presses, and serving webpage via webSockets in order to graph the responses. The objective was to t
It's an .exe file that can notify your chia profit and warning message every time automatically.
chia-Notify-with-Line 警示程式 It's an .exe file that can notify your chia profit and warning message every time automatically. 這是我自行設計的小程式,有轉成.exe檔了,可以在沒
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
ORB-SLAM2 Authors: Raul Mur-Artal, Juan D. Tardos, J. M. M. Montiel and Dorian Galvez-Lopez (DBoW2) 13 Jan 2017: OpenCV 3 and Eigen 3.3 are now suppor
A real world application of a Recurrent Neural Network on a binary classification of time series data
What is this This is a real world application of a Recurrent Neural Network on a binary classification of time series data. This project includes data
AI assistant built in python.the features are it can display time,say weather,open-google,youtube,instagram.
AI assistant built in python.the features are it can display time,say weather,open-google,youtube,instagram.
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
E-Commerce recommender demo with real-time data and a graph database
🔍 E-Commerce recommender demo 🔍 This is a simple stream setup that uses Memgraph to ingest real-time data from a simulated online store. Data is str
Real-time pose estimation accelerated with NVIDIA TensorRT
trt_pose Want to detect hand poses? Check out the new trt_pose_hand project for real-time hand pose and gesture recognition! trt_pose is aimed at enab
Eulera Dashboard is an easy and intuitive way to get a quick feel of what’s happening on the world’s market.
an easy and intuitive way to get a quick feel of what’s happening on the world’s market ! Eulera dashboard is a tool allows you to monitor historical
BanditPAM: Almost Linear-Time k-Medoids Clustering
BanditPAM: Almost Linear-Time k-Medoids Clustering This repo contains a high-performance implementation of BanditPAM from BanditPAM: Almost Linear-Tim
SwinIR: Image Restoration Using Swin Transformer
SwinIR: Image Restoration Using Swin Transformer This repository is the official PyTorch implementation of SwinIR: Image Restoration Using Shifted Win
Use tensorflow to implement a Deep Neural Network for real time lane detection
LaneNet-Lane-Detection Use tensorflow to implement a Deep Neural Network for real time lane detection mainly based on the IEEE IV conference paper "To
Accommodating supervised learning algorithms for the historical prices of the world's favorite cryptocurrency and boosting it through LightGBM.
Accommodating supervised learning algorithms for the historical prices of the world's favorite cryptocurrency and boosting it through LightGBM.
NYCT-GTFS - Real-time NYC subway data parsing for humans
NYCT-GTFS - Real-time NYC subway data parsing for humans This python library provides a human-friendly, native python interface for dealing with the N
Real time Human Detection Counting
In this python project, we are going to build the Human Detection and Counting System through Webcam or you can give your own video or images. This is a deep learning project on computer vision, which will help you to master the concepts and make you an expert in the field of Data Science. Let’s build an exciting project.
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
Framework to make using Bottle less time-consuming and easier
A class for the Bottle API to reduce clutter and difficulty while creating a website.
Background Matting: The World is Your Green Screen
Background Matting: The World is Your Green Screen By Soumyadip Sengupta, Vivek Jayaram, Brian Curless, Steve Seitz, and Ira Kemelmacher-Shlizerman Th
An implementation to rank your favourite songs from World of Walker
World-Of-Walker-Elo An implementation to rank your favourite songs from Alan Walker's 2021 album World of Walker. Uses the Elo rating system, which is
A pure-Python codified rant aspiring to a world where numbers and types can work together.
Copyright and other protections apply. Please see the accompanying LICENSE file for rights and restrictions governing use of this software. All rights
Unofficial PyTorch implementation of "RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving" (ECCV 2020)
RTM3D-PyTorch The PyTorch Implementation of the paper: RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving (ECCV 2020
Integrate bus data from a variety of sources (batch processing and real time processing).
Purpose: This is integrate bus data from a variety of sources such as: csv, json api, sensor data ... into Relational Database (batch processing and r
Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)
TimeCycle Code for Learning Correspondence from the Cycle-consistency of Time (CVPR 2019, Oral). The code is developed based on the PyTorch framework,
A PaddlePaddle implementation of Time Interval Aware Self-Attentive Sequential Recommendation.
TiSASRec.paddle A PaddlePaddle implementation of Time Interval Aware Self-Attentive Sequential Recommendation. Introduction 论文:Time Interval Aware Sel
Best blockchain in the world
alphachain Best blockchain in the world!!! Can be used to implement Layer 2 cryptocurrency protocol just click alphachain.py and it will execute autom
Official repository of "Investigating Tradeoffs in Real-World Video Super-Resolution"
RealBasicVSR [Paper] This is the official repository of "Investigating Tradeoffs in Real-World Video Super-Resolution, arXiv". This repository contain
A Python implementation of GRAIL, a generic framework to learn compact time series representations.
GRAIL A Python implementation of GRAIL, a generic framework to learn compact time series representations. Requirements Python 3.6+ numpy scipy tslearn
A tool to estimate time varying instantaneous reproduction number during epidemics
EpiEstim A tool to estimate time varying instantaneous reproduction number during epidemics. It is described in the following paper: @article{Cori2013
Pysces (read: Pisces) is a program to help you send emails with an user-customizable time-based scheduling.
Pysces (Python Scheduled-Custom-Email-Sender) Pysces (read: Pisces) is a program to help you send emails with an user-customizable time-based email se
A library that integrates huggingface transformers with the world of fastai, giving fastai devs everything they need to train, evaluate, and deploy transformer specific models.
blurr A library that integrates huggingface transformers with version 2 of the fastai framework Install You can now pip install blurr via pip install
Real-time ground filtering algorithm of cloud points acquired using Terrestrial Laser Scanner (TLS)
This repository contains tools to simulate the ground filtering process of a registered point cloud. The repository contains two filtering methods. The first method uses a normal vector, and fit to plane. The second method utilizes voxel adjacency, and fit to plane.
Code repository for "It's About Time: Analog clock Reading in the Wild"
it's about time Code repository for "It's About Time: Analog clock Reading in the Wild" Packages required: pytorch (used 1.9, any reasonable version s
A Python package to preprocess time series
Disclaimer: This package is WIP. Do not take any APIs for granted. tspreprocess Time series can contain noise, may be sampled under a non fitting rate
PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows.
An open-source, low-code machine learning library in Python 🚀 Version 2.3.5 out now! Check out the release notes here. Official • Docs • Install • Tu
ETNA – time series forecasting framework
ETNA Time Series Library Predict your time series the easiest way Homepage | Documentation | Tutorials | Contribution Guide | Release Notes ETNA is an
SHIBgreen is a cryptocurrency forked from Chia and uses the Proof of Space and Time consensus algorithm
SHIBgreen is a cryptocurrency forked from Chia and uses the Proof of Space and Time consensus algorithm
2D fluid simulation implementation of Jos Stam paper on real-time fuild dynamics, including some suggested extensions.
Fluid Simulation Usage Download this repo and store it in your computer. Open a terminal and go to the root directory of this folder. Make sure you ha
A basic Ray Tracer that exploits numpy arrays and functions to work fast.
Python-Fast-Raytracer A basic Ray Tracer that exploits numpy arrays and functions to work fast. The code is written keeping as much readability as pos
A keras-based real-time model for medical image segmentation (CFPNet-M)
CFPNet-M: A Light-Weight Encoder-Decoder Based Network for Multimodal Biomedical Image Real-Time Segmentation This repository contains the implementat
Friday Night Funkin - converts a chart from 4/4 time to 6/8 time, or from regular to swing tempo.
Chart to swing converter As seen in https://twitter.com/i_winxd/status/1462220493558366214 A program written in python that converts a chart from 4/4
Who are we? We are the Hunters of all Torrent in this world.🗡️.Fork from SlamDevs
MIRROR HUNTER This Mirror Bot is a multipurpose Telegram Bot writen in Python for mirroring files on the Internet to our beloved Google Drive. Repo la
A simple, fully convolutional model for real-time instance segmentation.
You Only Look At CoefficienTs ██╗ ██╗ ██████╗ ██╗ █████╗ ██████╗████████╗ ╚██╗ ██╔╝██╔═══██╗██║ ██╔══██╗██╔════╝╚══██╔══╝ ╚██
Example code for "Real-World Natural Language Processing"
Real-World Natural Language Processing This repository contains example code for the book "Real-World Natural Language Processing." AllenNLP (2.5.0 or
Properly-formatted dynamic timestamps for Discord messages
discord-timestamps discord-timestamps generates properly-formatted dynamic timestamps for Discord messages, with support for Arrow objects. format
Real-time analysis of intracranial neurophysiology recordings.
py_neuromodulation Click this button to run the "Tutorial ML with py_neuro" notebooks: The py_neuromodulation toolbox allows for real time capable pro
An interview engine for businesses, interview those who are actually qualified and are worth your time!
easyInterview V0.8B An interview engine for businesses, interview those who are actually qualified and are worth your time! Quick Overview You/the com
Sukoku-solver Python About Sudoku is one of the most popular puzzle games of all time
Sukoku-solver Python About Sudoku is one of the most popular puzzle games of all time. As a logic puzzle, Sudoku is also an excellent brain game. Bein
TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video
TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video Timely handgun detection is a cr
Robotic Path Planner for a 2D Sphere World
Robotic Path Planner for a 2D Sphere World This repository contains code implementing a robotic path planner in a 2D sphere world with obstacles. The
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
MGANs Training & Testing code (torch), pre-trained models and supplementary materials for "Precomputed Real-Time Texture Synthesis with Markovian Gene
Lightweight Python library for adding real-time object tracking to any detector.
Norfair is a customizable lightweight Python library for real-time 2D object tracking. Using Norfair, you can add tracking capabilities to any detecto
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
Description Kats is a toolkit to analyze time series data, a lightweight, easy-to-use, and generalizable framework to perform time series analysis. Ti
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
pmdarima Pmdarima (originally pyramid-arima, for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time se
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
pmdarima Pmdarima (originally pyramid-arima, for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time se
Hierarchical Time Series Forecasting using Prophet
htsprophet Hierarchical Time Series Forecasting using Prophet Credit to Rob J. Hyndman and research partners as much of the code was developed with th
Time Series Prediction with tf.contrib.timeseries
TensorFlow-Time-Series-Examples Additional examples for TensorFlow Time Series(TFTS). Read a Time Series with TFTS From a Numpy Array: See "test_input
Sequence to Sequence (seq2seq) Recurrent Neural Network (RNN) for Time Series Forecasting
Sequence to Sequence (seq2seq) Recurrent Neural Network (RNN) for Time Series Forecasting Note: You can find here the accompanying seq2seq RNN forecas
Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.
GENDIS GENetic DIscovery of Shapelets In the time series classification domain, shapelets are small subseries that are discriminative for a certain cl
Real-time 3D multi-person detection made easy with OpenPose and the ZED
OpenPose ZED This sample show how to simply use the ZED with OpenPose, the deep learning framework that detects the skeleton from a single 2D image. T
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
DensePose: Dense Human Pose Estimation In The Wild Rıza Alp Güler, Natalia Neverova, Iasonas Kokkinos [densepose.org] [arXiv] [BibTeX] Dense human pos
Implementation of light baking system for ray tracing based on Activision's UberBake
Vulkan Light Bakary MSU Graphics Group Student's Diploma Project Treefonov Andrey [GitHub] [LinkedIn] Project Goal The goal of the project is to imple
Implementation of [Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes].
Time2box Implementation of [Time in a Box: Advancing Knowledge Graph Completion with Temporal Scopes].
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation (CIKM'17)
RATE: Overcoming Noise and Sparsity of Textual Features in Real-Time Location Estimation This is the implementation of RATE: Overcoming Noise and Spar
Fight Recognition from Still Images in the Wild @ WACVW2022, Real-world Surveillance Workshop
Fight Detection from Still Images in the Wild Detecting fights from still images is an important task required to limit the distribution of social med
A python script that changes your desktop background based on current weather and time of the day.
Desktop background wallpaper, based on current weather and time A python script that changes your computer's desktop background based on current weath
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
PyAF (Python Automatic Forecasting) PyAF is an Open Source Python library for Automatic Forecasting built on top of popular data science python module
MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z-normalized Euclidean distance for similarity.
Introduction MASS allows you to search a time series for a subquery resulting in an array of distances. These array of distances enable you to identif
Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019) This repository contains python (3.5.2) implementation of
Short and long time series classification using convolutional neural networks
time-series-classification Short and long time series classification via convolutional neural networks In this project, we present a novel framework f
sktime companion package for deep learning based on TensorFlow
NOTE: sktime-dl is currently being updated to work correctly with sktime 0.6, and wwill be fully relaunched over the summer. The plan is Refactor and
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
ROCKET + MINIROCKET ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels. Data Mining and Knowledge D
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
A hands-off Anomaly Detection Library Table of contents What is Luminaire Quick Start Time Series Outlier Detection Workflow Anomaly Detection for Hig
Time Series Cross-Validation -- an extension for scikit-learn
TSCV: Time Series Cross-Validation This repository is a scikit-learn extension for time series cross-validation. It introduces gaps between the traini
Convoys is a simple library that fits a few statistical model useful for modeling time-lagged conversions.
Convoys is a simple library that fits a few statistical model useful for modeling time-lagged conversions. There is a lot more info if you head over to the documentation. You can also take a look at this blog post about Convoys.
Deep Survival Machines - Fully Parametric Survival Regression
Package: dsm Python package dsm provides an API to train the Deep Survival Machines and associated models for problems in survival analysis. The under
Banpei is a Python package of the anomaly detection.
Banpei Banpei is a Python package of the anomaly detection. Anomaly detection is a technique used to identify unusual patterns that do not conform to
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Telemanom (v2.0) v2.0 updates: Vectorized operations via numpy Object-oriented restructure, improved organization Merge branches into single branch fo
Python package for causal inference using Bayesian structural time-series models.
Python Causal Impact Causal inference using Bayesian structural time-series models. This package aims at defining a python equivalent of the R CausalI
List of Data Science Cheatsheets to rule the world
Data Science Cheatsheets List of Data Science Cheatsheets to rule the world. Table of Contents Business Science Business Science Problem Framework Dat
Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019
PortraitNet Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device". @ CAD&Graphics 2019 Introduction We propose a
reimpliment of DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation
DFANet This repo is an unofficial pytorch implementation of DFANet:Deep Feature Aggregation for Real-Time Semantic Segmentation log 2019.4.16 After 48
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation This repository contains the source code of our paper, ESPNet (acc