1015 Repositories
Python real-time-rendering Libraries
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].
Fully Automatic Page Turning on Real Scores
Fully Automatic Page Turning on Real Scores This repository contains the corresponding code for our extended abstract Henkel F., Schwaiger S. and Widm
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
Code and real data for the paper "Counterfactual Temporal Point Processes", available at arXiv.
counterfactual-tpp This is a repository containing code and real data for the paper Counterfactual Temporal Point Processes. Pre-requisites This code
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
Metaflow is a human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects
Metaflow Metaflow is a human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects. Metaflow
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
RTSeg: Real-time Semantic Segmentation Comparative Study
Real-time Semantic Segmentation Comparative Study The repository contains the official TensorFlow code used in our papers: RTSEG: REAL-TIME SEMANTIC S
Real-time Joint Semantic Reasoning for Autonomous Driving
MultiNet MultiNet is able to jointly perform road segmentation, car detection and street classification. The model achieves real-time speed and state-
ICNet and PSPNet-50 in Tensorflow for real-time semantic segmentation
Real-Time Semantic Segmentation in TensorFlow Perform pixel-wise semantic segmentation on high-resolution images in real-time with Image Cascade Netwo
TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
ICNet_tensorflow This repo provides a TensorFlow-based implementation of paper "ICNet for Real-Time Semantic Segmentation on High-Resolution Images,"
Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images
Keras-ICNet [paper] Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images. Training in progress! Requisites Python 3.6.3 K
ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018
ICNet for Real-Time Semantic Segmentation on High-Resolution Images by Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, Jianping Shi, Jiaya Jia, details a
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation.
ENet This work has been published in arXiv: ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation. Packages: train contains too
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
ENet in Caffe Execution times and hardware requirements Network 1024x512 1280x720 Parameters Model size (fp32) ENet 20.4 ms 32.9 ms 0.36 M 1.5 MB SegN
Real-Time Semantic Segmentation in Mobile device
Real-Time Semantic Segmentation in Mobile device This project is an example project of semantic segmentation for mobile real-time app. The architectur
OpenTOTP is yet another time-based, one-time passwords (OTPs) generator/verifier inspired by RFC 6238.
OpenTOTP is yet another time-based, one-time passwords (OTPs) generator/verifier inspired by RFC 6238. It generates and validates OTPs based
A python script that changes our background based on current weather and time of the day.
Desktop background on Windows 10, based on current weather and time A python script that changes our background based on current weather and time of t
🕟 Date and time processing language
Date Time Expression dte is a WIP date-time processing language with focus on broad interpretation. If you don't think it's intuitive, it's most likel
Training BERT with Compute/Time (Academic) Budget
Training BERT with Compute/Time (Academic) Budget This repository contains scripts for pre-training and finetuning BERT-like models with limited time
Neural network-based build time estimation for additive manufacturing
Neural network-based build time estimation for additive manufacturing Oh, Y., Sharp, M., Sprock, T., & Kwon, S. (2021). Neural network-based build tim
A meta plugin for processing timelapse data timepoint by timepoint in napari
napari-time-slicer A meta plugin for processing timelapse data timepoint by timepoint. It enables a list of napari plugins to process 2D+t or 3D+t dat
A Simple LSTM-Based Solution for "Heartbeat Signal Classification and Prediction" in Tianchi
LSTM-Time-Series-Prediction A Simple LSTM-Based Solution for "Heartbeat Signal Classification and Prediction" in Tianchi Contest. The Link of the Cont
The Spectral Diagram (SD) is a new tool for the comparison of time series in the frequency domain
The Spectral Diagram (SD) is a new tool for the comparison of time series in the frequency domain. The SD provides a novel way to display the coherence function, power, amplitude, phase, and skill score of discrete frequencies of two time series. Each SD summarises these quantities in a single plot for multiple targeted frequencies.
Predict the latency time of the deep learning models
Deep Neural Network Prediction Step 1. Genernate random parameters and Run them sequentially : $ python3 collect_data.py -gp -ep -pp -pl pooling -num
Gradually automate your procedures, one step at a time
Gradualist Gradually automate your procedures, one step at a time Inspired by https://blog.danslimmon.com/2019/07/15/ Features Main Features Converts
ProsePainter combines direct digital painting with real-time guided machine-learning based image optimization.
ProsePainter Create images by painting with words. ProsePainter combines direct digital painting with real-time guided machine-learning based image op
A free, multiplatform SDK for real-time facial motion capture using blendshapes, and rigid head pose in 3D space from any RGB camera, photo, or video.
mocap4face by Facemoji mocap4face by Facemoji is a free, multiplatform SDK for real-time facial motion capture based on Facial Action Coding System or
Zeyuan Chen, Yangchao Wang, Yang Yang and Dong Liu.
Principled S2R Dehazing This repository contains the official implementation for PSD Framework introduced in the following paper: PSD: Principled Synt
Music Classification: Beyond Supervised Learning, Towards Real-world Applications
Music Classification: Beyond Supervised Learning, Towards Real-world Applications
Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).
Invertible Image Denoising This is the PyTorch implementation of paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR 20
Implementation of the bachelor's thesis "Real-time stock predictions with deep learning and news scraping".
Real-time stock predictions with deep learning and news scraping This repository contains a partial implementation of my bachelor's thesis "Real-time
In this project, we are going to display the battery notification and the time left for the battery to drain out using the battery capacity value.
In this project, we are going to display the battery notification and the time left for the battery to drain out using the battery capacity value.
Code for "Long Range Probabilistic Forecasting in Time-Series using High Order Statistics"
Long Range Probabilistic Forecasting in Time-Series using High Order Statistics This is the code produced as part of the paper Long Range Probabilisti
ETHGreen blockchain is a fork from STAI and Chia blockchain including features implemented by Covid blockchain.
Welcome to ETHGreen Blockchain ETHGreen blockchain is a fork from STAI and Chia blockchain including features implemented by Covid blockchain. About t
A GUI widget for Linux to show current time in different timezones.
A GUI widget to show current time in different timezones (under development). To use this widget: Run scripts/startup.py Select a country. A list of t
JTEX is a command line tool (CLI) for rendering LaTeX documents from jinja-style templates.
JTEX JTEX is a command line tool (CLI) for rendering LaTeX documents from jinja-style templates. This package uses Jinja2 as the template engine with
Connect Aseprite to Blender for painting pixelart textures in real time
Pribambase Pribambase is a small tool that connects Aseprite and Blender, to allow painting with instant viewport feedback and all functionality of ex
Dataset and Code for ICCV 2021 paper "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme"
Dataset and Code for RealVSR Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme Xi Yang, Wangmeng Xiang,
[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction
FaPN: Feature-aligned Pyramid Network for Dense Image Prediction [arXiv] [Project Page] @inproceedings{ huang2021fapn, title={{FaPN}: Feature-alig
Official implementation of the paper 'High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network' in CVPR 2021
LPTN Paper | Supplementary Material | Poster High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network Ji
Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective
Unofficial pytorch implementation of the paper "Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective"
NeuTex: Neural Texture Mapping for Volumetric Neural Rendering
NeuTex: Neural Texture Mapping for Volumetric Neural Rendering Paper: https://arxiv.org/abs/2103.00762 Running Run on the provided DTU scene cd run ba
This is just a GUI that detects your file's real extension using the filetype module.
Real-file.extnsn This is just a GUI that detects your file's real extension using the filetype module. Requirements Python 3.4 and above filetype modu
LSTM Neural Networks for Spectroscopic Studies of Type Ia Supernovae
Package Description The difficulties in acquiring spectroscopic data have been a major challenge for supernova surveys. snlstm is developed to provide
Real-Time High-Resolution Background Matting
Real-Time High-Resolution Background Matting Official repository for the paper Real-Time High-Resolution Background Matting. Our model requires captur
Generate a 2FA Code out of an 2FA Secret(Time-based only!)
2FA-Generator Generate a 2FA Code out of an 2FA Secret(Time-based only!) ❗ Pleas don't share this secrets/generated codes with someone. If someone kno
A real data analysis and modeling project - restaurant inspections
A real data analysis and modeling project - restaurant inspections Jafar Pourbemany 9/27/2021 This project represents data analysis and modeling of re
This is a real life mario project using python and mediapipe
real-life-mario This is a real life mario project using python and mediapipe How to run to run this just run - realMario.py file requirements This req
A method to perform unsupervised cross-region adaptation of crop classifiers trained with satellite image time series.
TimeMatch Official source code of TimeMatch: Unsupervised Cross-region Adaptation by Temporal Shift Estimation by Joachim Nyborg, Charlotte Pelletier,
[CVPR 2021] NormalFusion: Real-Time Acquisition of Surface Normals for High-Resolution RGB-D Scanning
NormalFusion: Real-Time Acquisition of Surface Normals for High-Resolution RGB-D Scanning Project Page | Paper | Supplemental material #1 | Supplement
MODNet: Trimap-Free Portrait Matting in Real Time
MODNet is a model for real-time portrait matting with only RGB image input.
A collection of Scikit-Learn compatible time series transformers and tools.
tsfeast A collection of Scikit-Learn compatible time series transformers and tools. Installation Create a virtual environment and install: From PyPi p
A pytorch-based real-time segmentation model for autonomous driving
CFPNet: Channel-Wise Feature Pyramid for Real-Time Semantic Segmentation This project contains the Pytorch implementation for the proposed CFPNet: pap
Instance-wise Feature Importance in Time (FIT)
Instance-wise Feature Importance in Time (FIT) FIT is a framework for explaining time series perdiction models, by assigning feature importance to eve
The project of phase's key role in complex and real NN
Phase-in-NN This is the code for our project at Princeton (co-authors: Yuqi Nie, Hui Yuan). The paper title is: "Neural Network is heterogeneous: Phas
Companion repo of the UCC 2021 paper "Predictive Auto-scaling with OpenStack Monasca"
Predictive Auto-scaling with OpenStack Monasca Giacomo Lanciano*, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella 2021 IEEE/ACM 14t
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
Flask-built web application that simulates a time and cost calculator for charging Electric Vehicles.
ev_charging_calculator Flask-built web application that simulates a time and cost calculator for charging Electric Vehicles. The project aims to simul
Streamz helps you build pipelines to manage continuous streams of data
Streamz helps you build pipelines to manage continuous streams of data. It is simple to use in simple cases, but also supports complex pipelines that involve branching, joining, flow control, feedback, back pressure, and so on.
Time Series Forecasting with Temporal Fusion Transformer in Pytorch
Forecasting with the Temporal Fusion Transformer Multi-horizon forecasting often contains a complex mix of inputs – including static (i.e. time-invari
D-810 is an IDA Pro plugin which can be used to deobfuscate code at decompilation time by modifying IDA Pro microcode.
Introduction fork from https://gitlab.com/eshard/d810 What is D-810 D-810 is an IDA Pro plugin which can be used to deobfuscate code at decompilation
A python tool auto change proxy or ip after dealy time set by user
Auto proxy Ghost This tool auto change proxy or ip after dealy time set by user how to run 1. Install required file ./requirements.sh 2.Enter command
This repository contains the source code of an efficient 1D probabilistic model for music time analysis proposed in ICASSP2022 venue.
Jump Reward Inference for 1D Music Rhythmic State Spaces An implementation of the probablistic jump reward inference model for music rhythmic informat
training script for space time memory network
Trainig Script for Space Time Memory Network This codebase implemented training code for Space Time Memory Network with some cyclic features. Requirem
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 🔥
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
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