Python An-adaptive-hierarchical-energy-management-strategy Resources

AuthenticationX 💫 Ready-to-use and customizable Authentications and Oauth2 management for FastAPI ⚡

PAML PyTorch implementation of the paper: "Preference-Adaptive Meta-Learning for Cold-Start Recommendation", IJCAI, 2021. (Continuously updating ) Int

Experimental code for paper: Generative Adversarial Networks as Variational Training of Energy Based Models, under review at ICLR 2017 requirements: T

CaloGAN Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks. This repository c

Location-Aware Generative Adversarial Networks (LAGAN) for Physics Synthesis This repository contains all the code used in L. de Oliveira (@lukedeo),

py-earth A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines algorithm, in the style of scikit-learn. The py-earth p

tree-SNE t-SNE and hierarchical clustering are popular methods of exploratory data analysis, particularly in biology. Building on recent advances in s

Hyperbolic Hierarchical Clustering (HypHC) This code is the official PyTorch implementation of the NeurIPS 2020 paper: From Trees to Continuous Embedd

htsprophet Hierarchical Time Series Forecasting using Prophet Credit to Rob J. Hyndman and research partners as much of the code was developed with th

nbdev template Use this template to more easily create your nbdev project. If you are using an older version of this template, and want to upgrade to

Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data (NeurIPS 2021) This repository will provide the official PyTorch implementa

A distributed, plug-n-play algorithm for multi-robot applications with a priori non-computable objective functions Kapoutsis, A.C., Chatzichristofis,

Music Trees Supplementary code for the experiments described in the 2021 ISMIR submission: Leveraging Hierarchical Structures for Few Shot Musical Ins

SASE : Self-Adaptive noise distribution network for Speech Enhancement with heterogeneous data of Cross-Silo Federated learning We propose a SASE mode

PyAF (Python Automatic Forecasting) PyAF is an Open Source Python library for Automatic Forecasting built on top of popular data science python module

ModelChimp What is ModelChimp? ModelChimp is an experiment tracker for Deep Learning and Machine Learning experiments. ModelChimp provides the followi

Model Serving Made Easy BentoML is a flexible, high-performance framework for serving, managing, and deploying machine learning models. Supports multi

Metaflow Metaflow is a human-friendly Python/R library that helps scientists and engineers build and manage real-life data science projects. Metaflow

Library management using python & MySQL Dev/Editor: Pavan Ananth Sharma & MK Akash Introduction: This is an intermediate project which is a user-frie

Ansible Amazon Base Repository Ansible Amazon Base Repository About Setting Up Ansible Environment Configuring Python VENV and Ansible Editor Configur

Lightweight Cluster/Cloud VM Job Management 🚀 Are you looking for a tool to manage your training runs locally, on Slurm/Open Grid Engine clusters, SS

Source code for our paper "Empathetic Response Generation with State Management" this repository is maintained by both Jun Gao and Yuhan Liu Model Ove

filetailor filetailor is a peer-based configuration management utility for plain-text files (and directories) such as dotfiles. Files are backed up to

An automated Risk Management Monitor Bot for ByBit cryptocurrencies exchange that forces all open positions to adhere to a specific risk ratio, defined per asset. It supports USDT Perpetual, Inverse Perpetual and Inverse Futures all on Mainnet and Testnet.

hierarchical-transformer-1d Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning using 🤗 transformers In Progress!! 2021.

CreamySoup/"Creamy SourceMod Updater" (or just soup for short), a helper script for automated SourceMod plugin updates management.

Synapse-admin-api-python A Python wrapper for Matrix Synapse admin API. Versioning This library now supports up to Synapse 1.45.0, any Admin API intro

Greenbone Vulnerability Management Tools The Greenbone Vulnerability Management Tools gvm-tools are a collection of tools that help with remote contro

CircuitPython_XAC_Gamepad Setup process Install CircuitPython 7 or above in your board. Add the init.py file under \lib\adafruit_hid directory of CIRC

yman is a python script used for saving/restoring yakuake sessions (currently running commands, working directories, environment variables, tab titles)

Multi-objective constrained optimization for energy applications via tree ensembles

Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems This is our experimental code for RecSys 2021 paper "Learning

catsim - Computerized Adaptive Testing Simulator Quick start catsim is a computerized adaptive testing simulator written in Python 3.4 (with modificat

AdaConv Unofficial PyTorch implementation of the Adaptive Convolution architecture for image style transfer from "Adaptive Convolutions for Structure-

Citylearn Challenge This is the PyTorch implementation for PikaPika team, CityLearn Challenge Multi-Agent Reinforcement Learning for Intelligent Energ

Music Tools Set of utility tools for Spotify and Last.fm. Built on my other libraries for Spotify (spotframework), Last.fm (fmframework) and interfaci

This package is a python library with tools for the Molecular Simulation - Software Gromos. It allows you to easily set up, manage and analyze simulations in python.

Vegeta Robot A Advanced Powerful, Smart And Intelligent Group Management Bot With New And Powerful Features ... Written with Pyrogram and Telethon...

TextBPN Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection； Accepted by ICCV2021. Note: The complete code (including training and t

Intermediate Domain Module (IDM) This repository is the official implementation for IDM: An Intermediate Domain Module for Domain Adaptive Person Re-I

HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration Introduction The repository contains the source code and pre-tr

HAIS Hierarchical Aggregation for 3D Instance Segmentation (ICCV 2021) by Shaoyu Chen, Jiemin Fang, Qian Zhang, Wenyu Liu, Xinggang Wang*. (*) Corresp

The greatest content management system that will never exist Overview WordPress is a huge success but could it be done better? Maybe being mo

Proposal This proposal is written to clarify the project work of Information Systems, assigned to us as an individual task in order to tackle the case

HIGL This is a PyTorch implementation for our paper: Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning (NeurIPS 2021). Our cod

Simple dataclasses configuration management for Python with hocon/json/yaml/properties/env-vars/dict support, based on awesome and lightweight pyhocon parsing library.

Install .deb packages on any distribution:) Install Dependencies The project needs dependencies Python python is often installed by default on linux d

ants Allow you to create you own custom decentralize job management system. Install $ git clone https://github.com/hvuhsg/ants.git Run monitor exampl

💬 Join the Matrix chat, we can get money together. Θ ThetaGang Θ Beat the capitalists at their own game with ThetaGang 📈 ThetaGang is an IBKR tradin

Perturb-and-max-product: Sampling and learning in discrete energy-based models This repo contains code for reproducing the results in the paper Pertur

OSCAR Project Page | Paper This repository contains the codebase used in OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Ma

Taskcamp This software is used for educational and demonstrative purposes. It's a simple project management tool powered by Django Framework Install B

Payu Payu is a climate model workflow management tool for supercomputing environments. Payu is currently only configured for use on computing clusters

PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization (CVPR 2021) This is the official implementation of PW

Implicit Deep Adaptive Design (iDAD) This code supports the NeurIPS paper 'Implicit Deep Adaptive Design: Policy-Based Experimental Design without Lik

Unsupervised Learning of Compositional Energy Concepts This is the pytorch code for the paper Unsupervised Learning of Compositional Energy Concepts.

ATS About Source code of the paper Meta-learning with an Adaptive Task Scheduler. If you find this repository useful in your research, please cite the

AdaPool: Exponential Adaptive Pooling for Information-Retaining Downsampling Abstract Pooling layers are essential building blocks of Convolutional Ne

Data and Code for paper Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graph is available f

Dugh-NeurIPS-2021 This repo contains the code for the paper "Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroi

This is the accompanying repository for the Bloomberg Global Coal Countdown (BGCC) website. Data Sources Dashboard Data Schema and Validation License

PonderNet-TensorFlow This is an Unofficial Implementation of the paper: PonderNet: Learning to Ponder in TensorFlow. Official PyTorch Implementation:

CovidTrack A Solution to ensure Crowd Management with Contactless and Safe systems. ML Model Mask Detection Social Distancing Detection Analytics Page

pipupgrade The missing command for pip Table of Contents Features Quick Start Usage Basic Usage Docker Environment Variables FAQ License Features Upda

EV-charging-impact This repository contains the code that has been used for the Queue modelling for the paper "How will electric vehicles affect traff

USSBriefs2021 This provides the R code and data to replicate results in "The USS Trustee’s risky strategy" by Neil M Davies, Jackie Grant and Chin Yan

1. SaWDE.m is the main function 2. DataPartition.m is used to randomly partition the original data into training sets and test sets with a ratio of 7

Hierarchical User Intent Graph Network for Multimedia Recommendation This is our Pytorch implementation for the paper: Hierarchical User Intent Graph

Rapid is an open-source software library that implements a novel “parallel-in-time” (Parareal) algorithm and semi-analytical solutions for co-simulation of integrated transmission and distribution systems.

❤️ 𝗦𝗛𝗔𝗗𝗜𝗬𝗢 ❤️ A Powerful, Smart And Advance Group Manager ... Written with AioGram , Pyrogram and Telethon... ⭐️ Thanks to everyone who starred

netbox_config_plugin - A plugin to generate, compare and deploy configurations This plugin allows you to execute your code to generate a config for a

ABsolute SOLVantion Free Energy Calculations The absolv framework aims to offer a simple API for computing the change in free energy when transferring

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.

HIGL This is a PyTorch implementation for our paper: Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning (NeurIPS 2021). Our cod

AA-RMVSNet Code for AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network (ICCV 2021) in PyTorch. paper link: arXiv | CVF Change Log Ju

Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild Akash Sengupta, Ignas Budvytis, Robert

NeurIPS 2021 (Spotlight): Task-Adaptive Neural Network Search with Meta-Contrastive Learning This is an official PyTorch implementation of Task-Adapti

A python package adding basic hierarchal networks in pytorch for classification tasks. It implements a simple hierarchal network structure based on feed-backward outputs.

Auto-Research A no-code utility to generate a detailed well-cited survey with topic clustered sections (draft paper format) and other interesting arti

toy_gradlogp This repo implements some toy examples of the following score matching algorithms in PyTorch: ssm-vr: sliced score matching with variance

Hierarchical Few-Shot Generative Models Giorgio Giannone, Ole Winther This repo contains code and experiments for the paper Hierarchical Few-Shot Gene

Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.

Learning-Augmented Dynamic Power Management This repository contains source code accompanying paper Learning-Augmented Dynamic Power Management with M

Introduction PyTorch code for the ICLR 2021 paper [i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning]. @inproceedings{lee2021i

wger (ˈvɛɡɐ) Workout Manager is a free, open source web application that helps you manage your personal workouts, weight and diet plans and can also be used as a simple gym management utility.

Django Rest Password Reset This python package provides a simple password reset strategy for django rest framework, where users can request password r

ebms_proposals Official implementation (PyTorch) of the paper: Learning Proposals for Practical Energy-Based Regression, 2021 [arXiv] [project]. Fredr

This work has now been superseded by: https://github.com/sniklaus/revisiting-sepconv sepconv-slomo This is a reference implementation of Video Frame I

Adaptive wavelets Wavelets which adapt given data (and optionally a pre-trained model). This yields models which are faster, more compressible, and mo

Library books management program, With many features and good User Interface. built with Flask, Python. (Include Screenshots) and documentation on how to run it! Thank you :)

umber a course management web app built with python Flask, sqlite3, and git. installation Tested on Ubuntu 18 with python 3.5. # -- Install the system

Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation (NeurIPS 2021) by Qiming Hu, Xiaojie Guo. Dependencies P

❤️ Sophia ❤️ Avaiilable on Telegram as SophiaBot 🏃‍♂️ Easy Deploy Mandatory Vars [+] Make Sure You Add All These Mandatory Vars. [-] APP_ID: You ca

Tactical RMM is a remote monitoring & management tool for Windows computers, built with Django and Vue. It uses an agent written in golan

Mockango for short mockango is django fixture generator command which help you have data without pain for test development requirements pip install dj

Hierarchical Skills for Efficient Exploration This is the source code release for the paper Hierarchical Skills for Efficient Exploration. It contains

ibet-Prime The ibet-Prime security token management system for ibet network. Features ibet-Prime is an API service that enables the issuance and manag

Kazuko Robot A Telegram Python bot running on python3 forked with saitama and DiasyX with a sqlalchemy database and an entirely themed persona to make

Optimal Adaptive Allocation using Deep Reinforcement Learning in a Dose-Response Study Supplementary Materials for Kentaro Matsuura, Junya Honda, Imad

Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation (NeurIPS 2021) by Qiming Hu, Xiaojie Guo. Dependencies P