Python Power-flow Resources

E2FGVI (CVPR 2022) English | 简体中文 This repository contains the official implementation of the following paper: Towards An End-to-End Framework for Flo

Deep Equilibrium Optical Flow Estimation This is the official repo for the paper Deep Equilibrium Optical Flow Estimation (CVPR 2022), by Shaojie Bai*

03_Python_Flow_Control Introduction 👋 The control flow statements are an essential part of the Python programming language. A control flow statement

90_Python_Exercises_and_Challenges The best way to learn Python is by practicing examples. This repository contains the examples on basic and advance

OTC CatchUp Dashboard A Power BI/Google Studio dashboard analyzing OTC CatchUps. File Contents * ├───data ├───old summaries ─── *.md ├

SOFIMA SOFIMA (Scalable Optical Flow-based Image Montaging and Alignment) is a tool for stitching, aligning and warping large 2d, 3d and 4d microscopy

Note: This repo is adpoted from https://github.com/UNIMIBInside/Smart-Mobility-Prediction. Due to technical reasons, I did not fork their code. Introd

RIFE - Real-Time Intermediate Flow Estimation for Video Frame Interpolation YouTube | BiliBili 16X interpolation results from two input images: Introd

FILM: Frame Interpolation for Large Scene Motion Project | Paper | YouTube | Benchmark Scores Tensorflow 2 implementation of our high quality frame in

Energy_Output_Predictor Artificial Neural network regression model to predict the energy output in a combined cycle power plant. Abstract Energy outpu

Stopmagic gives you the power of creating amazing Stop Motion animations faster and easier than ever before. This project is maintained by Aldrin Mathew.

A state estimator for power system. Turbocharged with sparse matrix support, JIT, SIMD and improved ordering.

Data-Visualization-Projects Collection of data visualizing projects through Tableau, Data Wrapper, and Power BI Indigenous-Brands-Social-Movements Pyt

Energy-based GFlowNets Code for Generative Flow Networks for Discrete Probabilistic Modeling by Dinghuai Zhang, Nikolay Malkin, Zhen Liu, Alexandra Vo

Neural Scene Flow Fields PyTorch implementation of paper "Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes", CVPR 2021 [Projec

Tensorflow Implementation of A Generative Flow for Text-to-Speech via Monotonic Alignment Search

WebUAV-3M: A Benchmark Unveiling the Power of Million-Scale Deep UAV Tracking [Paper Link] Abstract In this work, we contribute a new million-scale Un

MFD-ILP Fast and exact ILP-based solvers for the Minimum Flow Decomposition (MFD) problem, and variants of it. The solvers are implemented using Pytho

gptrun Don't feel like coding today? Use the power of GPT3 to execute any function inside your programs just by giving some doctests. How is this diff

E-RAFT: Dense Optical Flow from Event Cameras This is the code for the paper E-RAFT: Dense Optical Flow from Event Cameras by Mathias Gehrig, Mario Mi

NCSR: Noise Conditional Flow Model for Learning the Super-Resolution Space Official NCSR training PyTorch Code for the CVPR2021 workshop paper "Noise

CO2Ampel This RaspberryPi project uses weather data to estimate the share of ren

PL-LOW A high-performance deep learning model lightweight pipeline that gradually lightens deep neural networks in order to utilize high-performance d

A simple visual node editor for Python Ryven combines flow-based visual scripting with Python. It gives you absolute freedom for your nodes and a simp

NAS-Bench-x11 NAS-Bench-x11 and the Power of Learning Curves Shen Yan, Colin White, Yash Savani, Frank Hutter. NeurIPS 2021. Surrogate NAS benchmarks

Dimension Reduced Turbulent Flow Data From Deep Vector Quantizers This is an implementation of A Physics-Informed Vector Quantized Autoencoder for Dat

ENSO (El Niño - Southern Oscillation) analysis in northeast Brazil É comprovada a influência dos fenômenos El Niño e La Niña nas secas no nordesde bra

Two predictive attributes (Speed and Angle) and one attribute target (Power). A container crane has the function of transporting containers from one point to another point. The difficulty of this task lies in the fact that the container is connected to the bridge crane by cables causing an opening angle while the container is being transported, interfering with the operation at high speeds due to oscillation that occurs at the end point, which could cause accidents.

json-schema-codegen Generate code from JSON schema files. Table of contents Introduction Currently supported languages Requirements Installation Usage

PySDM PySDM is a package for simulating the dynamics of population of particles. It is intended to serve as a building block for simulation systems mo

coltrane A simple content site framework that harnesses the power of Django with

coltrane A simple content site framework that harnesses the power of Django without the hassle. Features Can be a standalone static site or added to I

Sigma Coding Tutorials & Resources YouTube • Facebook Support Sigma Coding Patreon • GitHub Sponsor • Shop Amazon Table of Contents Overview Topics Re

[ICCV 2021] GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning This is the official implementation of our ICCV2021 paper GyroFlow. Our pres

Flow Gaussian Mixture Model (FlowGMM) This repository contains a PyTorch implementation of the Flow Gaussian Mixture Model (FlowGMM) model from our pa

nfelo nfelo is a power ranking, prediction, and betting model for the NFL. Nfelo take's 538's Elo framework and further adapts it for the NFL, hence t

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

Py_PSNODE General neural ODE and DAE modules for power system dynamic modeling. The PyTorch-based ODE solver is developed based on torchdiffeq. Sample

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

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

Prompt-Tuning Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning" Currently, we support the following huggigface models: Bart

signac-flow - manage workflows with signac The signac framework helps users manage and scale file-based workflows, facilitating data reuse, sharing, a

aiometer aiometer is a Python 3.6+ concurrency scheduling library compatible with asyncio and trio and inspired by Trimeter. It makes it easier to exe

🌎 JSONClasses JSONClasses is a declarative data flow pipeline and data graph framework. Official Website: https://www.jsonclasses.com Official Docume

🚢 inboard 🐳 Docker images and utilities to power your Python APIs and help you ship faster. Description This repository provides Docker images and a

VCN: Volumetric correspondence networks for optical flow [project website] Requirements python 3.6 pytorch 1.1.0-1.3.0 pytorch correlation module (opt

Occupancy Flow This repository contains the code for the project Occupancy Flow - 4D Reconstruction by Learning Particle Dynamics. You can find detail

Flow Flow is a computational framework for deep RL and control experiments for traffic microsimulation. See our website for more information on the ap

iDracPowerMonitorMQTT This script publishes iDrac power draw data for iDrac 6 enabled servers to an MQTT broker. This can be used to integrate the pow

Study German declensions (dER nettE Mann, ein nettER Mann, mit dEM nettEN Mann, ohne dEN nettEN Mann ...) Generate as many exercises as you want using the incredible power of SPACY!

A repository built on the Flow software package to explore cyber-security attacks on intelligent transportation systems.

PowerBuilder-decompile Python module that parse power builder file (PBD) and analyze code (Incomplete) this tool is composed of: pbd_dump.py pbd file

PyTorch implementation of normalizing flow models

PyPowSyBl The PyPowSyBl project gives access PowSyBl Java framework to Python developers. This Python integration relies on GraalVM to compile Java co

Pi Zero Bikecomputer An open-source bike computer based on Raspberry Pi Zero (W, WH) with GPS and ANT+ https://github.com/hishizuka/pizero_bikecompute

A modular PyTorch library for optical flow estimation using neural networks

[AAAI 2022] Low-Light Image Enhancement with Normalizing Flow Paper | Project Page Low-Light Image Enhancement with Normalizing Flow Yufei Wang, Renji

dc6006l - CLI/library to control FNIRSI DC Power Supply (DC-6006L, etc) What is this? FNIRSI DC6006L is a programmable DC power supply that is quite c

Self-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks Work accepted at NeurIPS'21 [paper, video]. If you use this code in

Katana ML Skipper This is a simple and flexible ML workflow engine. It helps to orchestrate events across a set of microservices and create executable

Spotify API Apps 🎷 🎶 🎼 This repository consists of many strange codes that make you think why the hell this guy doing this. Well... I got some reas

Simple bots or Simbots is a library designed to create simple chat bots using the power of python. This library utilises Intent, Entity, Relation and

APC Power Usage Introduction APC Power Usage is an application which shows power consuption overtime for UPS units manufactured by APC. Screenshoots G

Annealed Flow Transport Monte Carlo Open source implementation accompanying ICML 2021 paper by Michael Arbel*, Alexander G. D. G. Matthews* and Arnaud

I3D models transfered from Tensorflow to PyTorch This repo contains several scripts that allow to transfer the weights from the tensorflow implementat

pytm: A Pythonic framework for threat modeling Introduction Traditional threat modeling too often comes late to the party, or sometimes not at all. In

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss This repository contains the TensorFlow implementation of the paper UnF

Denoising Normalizing Flow Christian Horvat and Jean-Pascal Pfister 2021 We combine Normalizing Flows (NFs) and Denoising Auto Encoder (DAE) by introd

A Flow-based latent state generative model of neural population responses to natural images Code for "A Flow-based latent state generative model of ne

powerapps-docstring PowerApps-docstring is a console based, pipeline ready application that automatically generates user and technical documentation f

Neuro-Symbolic Sudoku Solver PyTorch implementation for the Neuro-Symbolic Sudoku Solver leveraging the power of Neural Logic Machines (NLM). Please n

Variational Gibbs inference (VGI) This repository contains the research code for Simkus, V., Rhodes, B., Gutmann, M. U., 2021. Variational Gibbs infer

GMFlow GMFlow: Learning Optical Flow via Global Matching Authors: Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Dacheng Tao We streamline the

Testability-Aware Low Power Controller Design with Evolutionary Learning This repo contains the source code of Testability-Aware Low Power Controller

Power Grid Lib - Optimal Power Flow This benchmark library is curated and maintained by the IEEE PES Task Force on Benchmarks for Validation of Emergi

PowerGridworld provides users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environments that readily integrate with existing training frameworks for reinforcement learning (RL).

nsff_pl Neural Scene Flow Fields using pytorch-lightning. This repo reimplements the NSFF idea, but modifies several operations based on observation o

Python Mandelbrot A simple python script that print the Mandelbrot set for every power of the formal formula.

Traffic Flow Test Platform Traffic flow test platform, especially for reinforcement learning, named TFTP. A traffic signal control framework that can

Code for the paper "Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy" (arXiv:1611.04488; published at ICLR 2017), by Douga

O365DevicePhish Microsoft365_devicePhish Abusing Microsoft 365 OAuth Authorization Flow for Phishing Attack This is a simple proof-of-concept script t

DeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction This is the implementation of DeepSTD in

Documentation: https://mmflow.readthedocs.io/ Introduction English | 简体中文 MMFlow is an open source optical flow toolbox based on PyTorch. It is a part

Identifies the faulty wafer before it can be used for the fabrication of integrated circuits and, in photovoltaics, to manufacture solar cells. The project retrains itself after every prediction, making it more robust and generalized over time.

RMTD: Robust Moving Target Defence Against False Data Injection Attacks in Power Grids Real-time detection performance. This repo contains the code an

Distribution System Model Calibration Algorithms The code in this library was developed by Sandia National Laboratories under funding provided by the

Overview Metrinome is an all-purpose tool for working with code complexity metrics. It can be used as both a REPL and API, and includes: Converters to

chkdns Harness the power of whatsmydns from the command-line. Installing with pip pip install chkdns Run chkdns --host github.com Alternatively you ca

DeT and DOT Code and datasets for "DepthTrack: Unveiling the Power of RGBD Tracking" (ICCV2021) "Depth-only Object Tracking" (BMVC2021) @InProceedings

Neural Scene Flow Prior Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey Will appear on Thirty-fifth Conference on Neural Information Processing Syste

Xilinx_Vitis_AI This repo will help you to Deploy your Deep Learning Model on Ultra96v2 Board. Prerequisites Vitis Core Development Kit 2019.2 This co

Power Core Simulator Power Core Simulator is a simulator based off the Roblox game "Pinewood Builders Computer Core". In this simulator, you can choos

Edge Independent Graph Models Code for the paper: "On the Power of Edge Independent Graph Models" Sudhanshu Chanpuriya, Cameron Musco, Konstantinos So

UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning By Kunming Luo, Chuan Wang, Shuaicheng Liu, Haoqiang Fan, Jue Wang, Jian Sun Megvii

PCBFlow Highly experimental set of scripts to transform a digital circuit described in a hardware description language (VHDL or Verilog) into a discre

Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks (MAPDN) This is the implementation of the paper Multi-Age

waldo-anticheat A project that aims to use optical flow and machine learning to visually detect cheating or hacking in video clips from fps games. Che

Seaflowpy A Python package for SeaFlow flow cytometer data. Table of Contents Install Read EVT/OPP/VCT Files Command-line Interface Configuration Inte

ConsolePi Acts as a serial Console Server, allowing you to remotely connect to ConsolePi via Telnet/SSH/bluetooth to gain Console Access to devices co

rpi-backlight A Python module for controlling power and brightness of the official Raspberry Pi 7" touch display. Note: This GIF was created using the