1031 Repositories
Python real-time-analytics Libraries
A denoising diffusion probabilistic model synthesises galaxies that are qualitatively and physically indistinguishable from the real thing.
Realistic galaxy simulation via score-based generative models Official code for 'Realistic galaxy simulation via score-based generative models'. We us
2021 Real Robot Challenge Phase2 attemp
Real_Robot_Challenge_Phase2_AE_attemp We(team name:thriftysnipe) are the first place winner of Phase1 in 2021 Real Robot Challenge. Please see this pa
Time tracking program that will format output to be easily put into Gitlab
time_tracker Time tracking program that will format output to be easily put into Gitlab. Feel free to branch and use it yourself! Getting Started Clon
PyTorch implementation of a Real-ESRGAN model trained on custom dataset
Real-ESRGAN PyTorch implementation of a Real-ESRGAN model trained on custom dataset. This model shows better results on faces compared to the original
A simple Tor switcher script switches tor nodes in interval of time
Tor_Switcher A simple Tor switcher script switches tor nodes in interval of time This script will switch tor nodes in every interval of time that you
Unofficial implementation of the paper: PonderNet: Learning to Ponder in TensorFlow
PonderNet-TensorFlow This is an Unofficial Implementation of the paper: PonderNet: Learning to Ponder in TensorFlow. Official PyTorch Implementation:
An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance"
Lidar-Segementation An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from
Chunkmogrify: Real image inversion via Segments
Chunkmogrify: Real image inversion via Segments Teaser video with live editing sessions can be found here This code demonstrates the ideas discussed i
Working Time Statistics of working hours and working conditions by industry and company
Working Time Statistics of working hours and working conditions by industry and company
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
deeptime Releases: Installation via conda recommended. conda install -c conda-forge deeptime pip install deeptime Documentation: deeptime-ml.github.io
A program to generate random numbers b/w 0 to 10 using time
random-num-using-time A program to generate random numbers b/w 0 to 10 using time it uses python's in-built module datetime and an equation which retu
It is a program that displays the current temperature of the GPU and CPU in real time and stores the temperature history.
HWLogger It is a program that displays the current temperature of the GPU and CPU in real time and stores the temperature history. Sample Usage Run HW
🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥
🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥
Ralph is a command-line tool to fetch, extract, convert and push your tracking logs from various storage backends to your LRS or any other compatible storage or database backend.
Ralph is a command-line tool to fetch, extract, convert and push your tracking logs (aka learning events) from various storage backends to your
TAug :: Time Series Data Augmentation using Deep Generative Models
TAug :: Time Series Data Augmentation using Deep Generative Models Note!!! The package is under development so be careful for using in production! Fea
Freecodecamp Scientific Computing with Python Certification; Solution for Challenge 2: Time Calculator
Assignment Write a function named add_time that takes in two required parameters and one optional parameter: a start time in the 12-hour clock format
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Au
A collection of Google research projects related to Federated Learning and Federated Analytics.
Federated Research Federated Research is a collection of research projects related to Federated Learning and Federated Analytics. Federated learning i
This repository is the official implementation of Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models
Using Time-Series Privileged Information for Provably Efficient Learning of Prediction Models Link to paper Abstract We study prediction of future out
An inline real-time media searching robot without any database.
MediaBuddy A Telegram Inline media searching robot without any database. About mediaBuddy is an inline media searching robot. If you have so many movi
Spatial Interpolation Toolbox is a Python-based GUI that is able to interpolate spatial data in vector format.
Spatial Interpolation Toolbox This is the home to Spatial Interpolation Toolbox, a graphical user interface (GUI) for interpolating geographic vector
Price forecasting of SGB and IRFC Bonds and comparing there returns
Project_Bonds Project Title : Price forecasting of SGB and IRFC Bonds and comparing there returns. Introduction of the Project The 2008-09 global fina
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
python-is-cool A gentle guide to the Python features that I didn't know existed or was too afraid to use. This will be updated as I learn more and bec
GitHub Usage Report
github-analytics from github_analytics import analyze pr_analysis = analyze.PRAnalyzer( "organization/repo", "organization", "team-name",
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Au
My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data
kNN-vs-RFR My project contrasts K-Nearest Neighbors and Random Forrest Regressors on Real World data In many areas, rental bikes have been launched to
Space Time Recurrent Memory Network - Pytorch
Space Time Recurrent Memory Network - Pytorch (wip) Implementation of Space Time Recurrent Memory Network, recurrent network competitive with attentio
Anomaly Detection Based on Hierarchical Clustering of Mobile Robot Data
We proposed a new approach to detect anomalies of mobile robot data. We investigate each data seperately with two clustering method hierarchical and k-means. There are two sub-method that we used for produce an anomaly score. Then, we merge these two score and produce merged anomaly score as a result.
Contains supplementary materials for reproduce results in HMC divergence time estimation manuscript
Scalable Bayesian divergence time estimation with ratio transformations This repository contains the instructions and files to reproduce the analyses
Arbitrary Distribution Modeling with Censorship in Real Time 59 2 60 3 Bidding Advertising for KDD'21
Arbitrary_Distribution_Modeling This repo implements the Neighborhood Likelihood Loss (NLL) and Arbitrary Distribution Modeling (ADM, with Interacting
Dynamica causal Bayesian optimisation
Dynamic Causal Bayesian Optimization This is a Python implementation of Dynamic Causal Bayesian Optimization as presented at NeurIPS 2021. Abstract Th
Implementation for the paper 'YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs'
YOLO-ReT This is the original implementation of the paper: YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs. Prakhar Ganesh, Ya
Light-weight network, depth estimation, knowledge distillation, real-time depth estimation, auxiliary data.
light-weight-depth-estimation Boosting Light-Weight Depth Estimation Via Knowledge Distillation, https://arxiv.org/abs/2105.06143 Junjie Hu, Chenyou F
TrackTech: Real-time tracking of subjects and objects on multiple cameras
TrackTech: Real-time tracking of subjects and objects on multiple cameras This project is part of the 2021 spring bachelor final project of the Bachel
Repository for playing the computer vision apps: People analytics on Raspberry Pi.
play-with-torch Repository for playing the computer vision apps: People analytics on Raspberry Pi. Tools Tested Hardware RasberryPi 4 Model B here, RA
This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2021, Spotlight)
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization This codebase is the official implementation of Test-Time Classifier A
This repository contains code demonstrating the methods outlined in Path Signature Area-Based Causal Discovery in Coupled Time Series presented at Causal Analysis Workshop 2021.
signed-area-causal-inference This repository contains code demonstrating the methods outlined in Path Signature Area-Based Causal Discovery in Coupled
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
Spacetimeformer Multivariate Forecasting This repository contains the code for the paper, "Long-Range Transformers for Dynamic Spatiotemporal Forecast
Polynomial-time Meta-Interpretive Learning
Louise - polynomial-time Program Learning Getting help with Louise Louise's author can be reached by email at [email protected]. Please use this email t
Multivariate Time Series Transformer, public version
Multivariate Time Series Transformer Framework This code corresponds to the paper: George Zerveas et al. A Transformer-based Framework for Multivariat
Test-Time Personalization with a Transformer for Human Pose Estimation, NeurIPS 2021
Transforming Self-Supervision in Test Time for Personalizing Human Pose Estimation This is an official implementation of the NeurIPS 2021 paper: Trans
Tokyo 2020 Paralympics, Analytics
Tokyo 2020 Paralympics, Analytics Thanks for checking out my app! It was built entirely using matplotlib and Tokyo 2020 Paralympics data. This applica
LittleBrother is a simple parental control application monitoring specific processes on Linux hosts to monitor and limit the play time of children.
Parental Control Application LittleBrother Overview LittleBrother is a simple parental control application monitoring specific processes (read "games"
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation (CVPR 2020)
Super-BPD for Fast Image Segmentation (CVPR 2020) Introduction We propose direction-based super-BPD, an alternative to superpixel, for fast generic im
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods This repository is the official implementation of Seohong Park, Jaeky
The official implementation of paper Siamese Transformer Pyramid Networks for Real-Time UAV Tracking, accepted by WACV22
SiamTPN Introduction This is the official implementation of the SiamTPN (WACV2022). The tracker intergrates pyramid feature network and transformer in
A multi-page streamlit app for the geospatial community.
A multi-page streamlit app for the geospatial community.
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
Average time per match by division
HW_02 Unzip matches.rar to access .json files for matches. Get an API key to access their data at: https://developer.riotgames.com/ Average time per m
A SageMaker Projects template to deploy a model from Model Registry, choosing your preferred method of deployment among async (Asynchronous Inference), batch (Batch Transform), realtime (Real-time Inference Endpoint). More to be added soon!
SageMaker Projects: Multiple Choice Deployment A SageMaker Projects template to deploy a model from Model Registry, choosing your preferred method of
Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.
feature-set-comp Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships. Reposito
Virtual webcam that takes real webcam footage and replaces the background in order to have Virtual Backgrounds in MS Teams for Linux where the feature is unimplemented.
Background Remover The Need It's been good long while since Microsoft first released a Teams version for Linux and yet, one of Teams' coolest features
JittorVis - Visual understanding of deep learning models
JittorVis: Visual understanding of deep learning model JittorVis is an open-source library for understanding the inner workings of Jittor models by vi
Simple one-time pad (OTP) encryption
Introduction What you will make In this resource you will learn how to create and use an encryption technique known as the one-time pad. This method o
A Real-Time-Strategy game for Deep Learning research
Description DeepRTS is a high-performance Real-TIme strategy game for Reinforcement Learning research. It is written in C++ for performance, but provi
Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python.
What is Retentioneering? Retentioneering is a Python framework and library to assist product analysts and marketing analysts as it makes it easier to
Nixtla is an open-source time series forecasting library.
Nixtla Nixtla is an open-source time series forecasting library. We are helping data scientists and developers to have access to open source state-of-
PyEmits, a python package for easy manipulation in time-series data.
PyEmits, a python package for easy manipulation in time-series data. Time-series data is very common in real life. Engineering FSI industry (Financial
Developed a website to analyze and generate report of students based on the curriculum that represents student’s academic performance.
Developed a website to analyze and generate report of students based on the curriculum that represents student’s academic performance. We have developed the system such that, it will automatically parse data onto the database from excel file, which will in return reduce time consumption of analysis of data.
ticktock is a minimalist library to view Python time performance of Python code.
ticktock is a minimalist library to view Python time performance of Python code.
Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization'
pytorch-AdaIN This is an unofficial pytorch implementation of a paper, Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization [Hua
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
Vector AI is a framework designed to make the process of building production grade vector based applications as quickly and easily as possible. Create
Make GIFs from time-stacked xarray.DataArrays (time, [optional band], y, x), dead-simple.
GeoGIF Make GIFs from time-stacked xarray.DataArrays (time, [optional band], y, x), dead-simple. from geogif import gif, dgif gif(data_array) dgif(das
Flower - A Friendly Federated Learning Framework
Flower - A Friendly Federated Learning Framework Flower (flwr) is a framework for building federated learning systems. The design of Flower is based o
Code Repository for Liquid Time-Constant Networks (LTCs)
Liquid time-constant Networks (LTCs) [Update] A Pytorch version is added in our sister repository: https://github.com/mlech26l/keras-ncp This is the o
Codebase for Time-series Generative Adversarial Networks (TimeGAN)
Codebase for Time-series Generative Adversarial Networks (TimeGAN)
Pytorch implementation of the paper Time-series Generative Adversarial Networks
TimeGAN-pytorch Pytorch implementation of the paper Time-series Generative Adversarial Networks presented at NeurIPS'19. Jinsung Yoon, Daniel Jarrett
The official implementation of paper Siamese Transformer Pyramid Networks for Real-Time UAV Tracking, accepted by WACV22
SiamTPN Introduction This is the official implementation of the SiamTPN (WACV2022). The tracker intergrates pyramid feature network and transformer in
A rule learning algorithm for the deduction of syndrome definitions from time series data.
README This project provides a rule learning algorithm for the deduction of syndrome definitions from time series data. Large parts of the algorithm a
Real-time Neural Representation Fusion for Robust Volumetric Mapping
NeuralBlox: Real-Time Neural Representation Fusion for Robust Volumetric Mapping Paper | Supplementary This repository contains the implementation of
StudyLion is a Discord bot that tracks members' study and work time while offering members to view their statistics and use productivity tools such as: To-do lists, Pomodoro timers, reminders, and much more.
StudyLion - Discord Productivity Bot StudyLion is a Discord bot that tracks members' study and work time while offering members the ability to view th
A time table app to notify the user about their class timings
kivyTimeTable A time table app to notify the user about their class timings Features This project incorporates some features i wanted to see in a time
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
Introduction This is the repository of our accepted CIKM 2021 paper "Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Trans
PyTorch implementation of paper "StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement" (ICCV 2021 Oral)
StarEnhancer StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement (ICCV 2021 Oral) Abstract: Image enhancement is a subjective process w
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte Computer Vision Lab
Time-Optimal Planning for Quadrotor Waypoint Flight
Time-Optimal Planning for Quadrotor Waypoint Flight This is an example implementation of the paper "Time-Optimal Planning for Quadrotor Waypoint Fligh
Public repo for the ICCV2021-CVAMD paper "Is it Time to Replace CNNs with Transformers for Medical Images?"
Is it Time to Replace CNNs with Transformers for Medical Images? Accepted at ICCV-2021: Workshop on Computer Vision for Automated Medical Diagnosis (C
Experiment to find the best time to look for an appointment at the Berlin Bürgeramt
Bürgeramt appointment experiment Checks Berlin.de for free Anmeldung appointments every X minutes, then analyses the results. How to use Run get-page.
Terraform module to ship CloudTrail logs stored in a S3 bucket into a Kinesis stream for further processing and real-time analysis.
AWS infrastructure to ship CloudTrail logs from S3 to Kinesis This repository contains a Terraform module to ship CloudTrail logs stored in a S3 bucke
And now, for the first time, you can send alerts via action from ArcSight ESM Console to the TheHive when Correlation Rules are triggered.
ArcSight Integration with TheHive And now, for the first time, you can send alerts via action from ArcSight ESM Console to the TheHive when Correlatio
PyTorch implementation of Towards Accurate Alignment in Real-time 3D Hand-Mesh Reconstruction (ICCV 2021).
Towards Accurate Alignment in Real-time 3D Hand-Mesh Reconstruction Introduction This is official PyTorch implementation of Towards Accurate Alignment
Code and Data for NeurIPS2021 Paper "A Dataset for Answering Time-Sensitive Questions"
Time-Sensitive-QA The repo contains the dataset and code for NeurIPS2021 (dataset track) paper Time-Sensitive Question Answering dataset. The dataset
Date Time Userbot With Python
DATE_TIME_USERBOT An Telegram Bot By @Pythone_3 Config Vars API_ID : Telegram API_ID, get it from my.telegram.org/apps API_HASH : Telegram API_ID, get
use Notepad++ for real-time sync after python appending new log text
FTP远程log同步工具 使用Notepad++配合来获取实时更新的log文档效果 适用于FTP协议的log远程同步工具,配合MT管理器开启FTP服务器使用,通过Notepad++监听文本变化,更便捷的使用电脑查看方法注入打印后的信息 功能 过滤器 对每行要打印的文本使用回调函数筛选,支持链式调用
An implementation of the [Hierarchical (Sig-Wasserstein) GAN] algorithm for large dimensional Time Series Generation
Hierarchical GAN for large dimensional financial market data Implementation This repository is an implementation of the [Hierarchical (Sig-Wasserstein
wikirepo is a Python package that provides a framework to easily source and leverage standardized Wikidata information
Python based Wikidata framework for easy dataframe extraction wikirepo is a Python package that provides a framework to easily source and leverage sta
MaD GUI is a basis for graphical annotation and computational analysis of time series data.
MaD GUI Machine Learning and Data Analytics Graphical User Interface MaD GUI is a basis for graphical annotation and computational analysis of time se
Official PyTorch Implementation of Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition, ICCV 2021
Official PyTorch Implementation of Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition, ICCV 2021
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)
Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19) Tianyu Wang*, Xin Yang*, Ke Xu, Shaozhe Chen, Qiang Zhang, Ry
✋ Auto logout a user after specific time in Django
django-auto-logout Auto logout a user after specific time in Django. Works with Python 🐍 ≥ 3.7, Django 🌐 ≥ 3.0. ✔️ Installation pip install django-a
Face Library is an open source package for accurate and real-time face detection and recognition
Face Library Face Library is an open source package for accurate and real-time face detection and recognition. The package is built over OpenCV and us
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation
RIFE - Real Time Video Interpolation arXiv | YouTube | Colab | Tutorial | Demo Table of Contents Introduction Collection Usage Evaluation Training and
PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids
PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids The electric grid is a key enabling infrastructure for the a
Dynamical Wasserstein Barycenters for Time Series Modeling
Dynamical Wasserstein Barycenters for Time Series Modeling This is the code related for the Dynamical Wasserstein Barycenter model published in Neurip
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
ByteTrack ByteTrack is a simple, fast and strong multi-object tracker. ByteTrack: Multi-Object Tracking by Associating Every Detection Box Yifu Zhang,
Code & Data for the Paper "Time Masking for Temporal Language Models", WSDM 2022
Time Masking for Temporal Language Models This repository provides a reference implementation of the paper: Time Masking for Temporal Language Models
Statistical Analysis 📈 focused on statistical analysis and exploration used on various data sets for personal and professional projects.
Statistical Analysis 📈 This repository focuses on statistical analysis and the exploration used on various data sets for personal and professional pr
Open Data Cube analyses continental scale Earth Observation data through time
Open Data Cube Core Overview The Open Data Cube Core provides an integrated gridded data analysis environment for decades of analysis ready earth obse
Trained on Simulated Data, Tested in the Real World
Trained on Simulated Data, Tested in the Real World
TCube generates rich and fluent narratives that describes the characteristics, trends, and anomalies of any time-series data (domain-agnostic) using the transfer learning capabilities of PLMs.
TCube: Domain-Agnostic Neural Time series Narration This repository contains the code for the paper: "TCube: Domain-Agnostic Neural Time series Narrat