2638 Repositories
Python flask-machine Libraries
Small and simple gravatar usage in Flask.
Flask Gravatar About This is small and simple integration gravatar into flask. Installation Flask-Gravatar is on PyPI so all you need is: pip install
Flask extension for Pusher
Flask-Pusher Flask extension for Pusher. It is a thin wrapper around the official client, binding Flask app to Pusher client. Installation Install Fla
Flask extension that provides integration with Azure Storage
Flask-Azure-Storage A Flask extension that provides integration with Azure Storage Table of Contents Flask-Azure-Storage Install Usage Examples Create
Force SSL on your Flask app.
Flask-SSLify This is a simple Flask extension that configures your Flask application to redirect all incoming requests to HTTPS. The extension is no l
Flask html response minifier
Flask-HTMLmin Minify flask text/html mime type responses. Just add MINIFY_HTML = True to your deployment config to minify HTML and text responses of y
Easy OpenAPI specs and Swagger UI for your Flask API
Flasgger Easy Swagger UI for your Flask API Flasgger is a Flask extension to extract OpenAPI-Specification from all Flask views registered in your API
MongoDB panel for the Flask Debug Toolbar
Flask Debug Toolbar MongoDB Panel Info: An extension panel for Rob Hudson's Django Debug Toolbar that adds MongoDB debugging information Author: Harry
Final term project for Bayesian Machine Learning Lecture (XAI-623)
Mixquality_AL Final Term Project For Bayesian Machine Learning Lecture (XAI-623) Youtube Link The presentation is given in YoutubeLink Problem Formula
Enhancing Column Generation by a Machine-Learning-BasedPricing Heuristic for Graph Coloring
Enhancing Column Generation by a Machine-Learning-BasedPricing Heuristic for Graph Coloring (to appear at AAAI 2022) We propose a machine-learning-bas
Machine learning Bot detection technique, based on United States election dataset
Machine learning Bot detection technique, based on United States election dataset (2020). Current github repo provides implementation described in pap
This repo contains the source code and a benchmark for predicting user's utilities with Machine Learning techniques for Computational Persuasion
Machine Learning for Argument-Based Computational Persuasion This repo contains the source code and a benchmark for predicting user's utilities with M
Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.
VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks. VMAgent is constructed based on one month r
In real-world applications of machine learning, reliable and safe systems must consider measures of performance beyond standard test set accuracy
PixMix Introduction In real-world applications of machine learning, reliable and safe systems must consider measures of performance beyond standard te
Machine Learning algorithms implementation.
Machine Learning Algorithms Machine Learning algorithms implementation. What can I find here? ML Algorithms KNN K-Means-Clustering SVM (MultiClass) Pe
Fetching Cryptocurrency Prices from Coingecko and Displaying them on Grafana
cryptocurrency-prices-grafana Fetching Cryptocurrency Prices from Coingecko and Displaying them on Grafana About This stack consists of: Prometheus (t
A Simple Flask-Plotly Example for NTU 110-1 DSSI Class
A Simple Flask-Plotly Example for NTU 110-1 DSSI Class Live Demo Prerequisites We will use Flask and Ploty to build a Flask application. If you haven'
Full Stack Web Development with Flask.
Discover Flask Full Stack Web Development with Flask. http://discoverflask.com Flask is a micro web framework powered by Python. Its API is fairly sma
Flaskr: Intro to Flask, Test-Driven Development (TDD), and JavaScript
Flaskr - Intro to Flask, Test-Driven Development, and JavaScript Share on Twitter As many of you know, Flaskr -- a mini-blog-like-app -- is the app th
Guitar tabs web app for guitar fans, powered by Python/Flask
Guitar123 version 0.8.5 Guitar tabs web app for guitar fans, powered by Python/Flask Features Guitar tabs search and browse Easy to use for end user a
Example Flask application illustrating some of my common practices
Overholt Overholt is an example Flask application illustrating some of my common practices Development Environment At the bare minimum you'll need the
A team blog based on Flask
A team blog based on Flask This project isn't supported at the moment, please see a newer pypress-tornado Thanks for flask_website and newsmeme at [ht
Another redis monitor by using flask, angular, socket.io
RedisPAPA we use redis info to monitor the redis usage. PAPA means a father who is monitoring the redis. accoding to the redis doc, it is be recommand
Learn python and flask,just a tony blog system
flaskblog Learn python and flask,just a tony blog system based on flask and mysql It is similar to cleanblog, a blog system based on flask and mongoen
A clean and simple blog system based on Flask and MongoDB
CleanBlog A clean and simple blog system based on Flask and MongoDB You can access CleanBlog This is the source code of Flask Tutorial Pro,you can buy
A live chat built with python(flask + gevent + apscheduler) + redis
a live chat room built with python(flask / gevent / apscheduler) + redis Basic Architecture Screenshot Install cd /path/to/source python bootstrap.py
A small timeseries transformation API built on Flask and Pandas
#Mcflyin ###A timeseries transformation API built on Pandas and Flask This is a small demo of an API to do timeseries transformations built on Flask a
Fbone (Flask bone) is a Flask (Python microframework) starter/template/bootstrap/boilerplate application.
Fbone (Flask bone) is a Flask (Python microframework) starter/template/bootstrap/boilerplate application.
A flask template with Bootstrap 4, asset bundling+minification with webpack, starter templates, and registration/authentication.
cookiecutter-flask A Flask template for cookiecutter. (Supports Python ≥ 3.6) See this repo for an example project generated from the most recent vers
A solid foundation for your flask app
Flask Foundation There is a cookiecutter version of this repo at https://github.com/JackStouffer/cookiecutter-Flask-Foundation. Documentation is locat
Template for a rest app with flask, flask-rest and more...
Flask REST Template About the project (some comments): The ideia behind the project is to create an useful and simple template for an rest app . Besid
Tensorflow 2 implementations of the C-SimCLR and C-BYOL self-supervised visual representation methods from "Compressive Visual Representations" (NeurIPS 2021)
Compressive Visual Representations This repository contains the source code for our paper, Compressive Visual Representations. We developed informatio
Open MLOps - A Production-focused Open-Source Machine Learning Framework
Open MLOps - A Production-focused Open-Source Machine Learning Framework Open MLOps is a set of open-source tools carefully chosen to ease user experi
Machine Learning automation and tracking
The Open-Source MLOps Orchestration Framework MLRun is an open-source MLOps framework that offers an integrative approach to managing your machine-lea
ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.
ZenML is an extensible, open-source MLOps framework to create production-ready machine learning pipelines. It has a simple, flexible syntax, is cloud and tool agnostic, and has interfaces/abstractions that are catered towards ML workflows.
Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.
Flyte Flyte is a workflow automation platform for complex, mission-critical data, and ML processes at scale Home Page · Quick Start · Documentation ·
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Seldon Core: Blazing Fast, Industry-Ready ML An open source platform to deploy your machine learning models on Kubernetes at massive scale. Overview S
The Balloon Learning Environment - flying stratospheric balloons with deep reinforcement learning.
Balloon Learning Environment Docs The Balloon Learning Environment (BLE) is a simulator for stratospheric balloons. It is designed as a benchmark envi
Existing Literature about Machine Unlearning
Machine Unlearning Papers 2021 Brophy and Lowd. Machine Unlearning for Random Forests. In ICML 2021. Bourtoule et al. Machine Unlearning. In IEEE Symp
Tools for computational pathology
A toolkit for computational pathology and machine learning. View documentation Please cite our paper Installation There are several ways to install Pa
Parallel TTS web demo based on Flask + Vue (Vuetify).
Parallel TTS web demo based on Flask + Vue (Vuetify).
A simple and lightweight genetic algorithm for optimization of any machine learning model
geneticml This package contains a simple and lightweight genetic algorithm for optimization of any machine learning model. Installation Use pip to ins
ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab
AliceMind AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab This repository provides pre-trained encode
A simple rest api that classifies pneumonia infection weather it is Normal, Pneumonia Virus or Pneumonia Bacteria from a chest-x-ray image.
This is a simple rest api that classifies pneumonia infection weather it is Normal, Pneumonia Virus or Pneumonia Bacteria from a chest-x-ray image.
Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.
Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production.
Applied Machine Learning for Graduate Program in Computer Science (PPGCC)
Applied Machine Learning for Graduate Program in Computer Science (PPGCC) - Federal University of Santa Catarina
Rapid experimentation and scaling of deep learning models on molecular and crystal graphs.
LitMatter A template for rapid experimentation and scaling deep learning models on molecular and crystal graphs. How to use Clone this repository and
Meandering In Networks of Entities to Reach Verisimilar Answers
MINERVA Meandering In Networks of Entities to Reach Verisimilar Answers Code and models for the paper Go for a Walk and Arrive at the Answer - Reasoni
RID-Noise: Towards Robust Inverse Design under Noisy Environments
This is code of RID-Noise. Reproduce RID-Noise Results Toy tasks Please refer to the notebook ridnoise.ipynb to view experiments on three toy tasks. B
Repository aimed at compiling code, papers, demos etc.. related to my PhD on 3D vision and machine learning for fruit detection and shape estimation at the university of Lincoln
PhD_3DPerception Repository aimed at compiling code, papers, demos etc.. related to my PhD on 3D vision and machine learning for fruit detection and s
Machine translation models released by the Gourmet project
Gourmet Models Overview The Gourmet project has released several machine translation models to translate low-resource languages. This repository conta
An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches
Transformer-in-Transformer An Implementation of the Transformer in Transformer paper by Han et al. for image classification, attention inside local pa
Imparare Django ricreando un sito facsimile a quello Flask
SitoPBG-Django Imparare Django ricreando un sito facsimile a quello Flask Note di utilizzo Necessita la valorizzazione delle seguenti variabili di amb
This repository contains full machine learning pipeline of the Zillow Houses competition on Kaggle platform.
Zillow-Houses This repository contains full machine learning pipeline of the Zillow Houses competition on Kaggle platform. Pipeline is consists of 10
Papers about explainability of GNNs
Papers about explainability of GNNs
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
deepface Deepface is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. It is a hybrid
A simple and lightweight genetic algorithm for optimization of any machine learning model
geneticml This package contains a simple and lightweight genetic algorithm for optimization of any machine learning model. Installation Use pip to ins
Heroku Flask Setup
Heroku Flask Setup
Collection of sports betting AI tools.
sports-betting sports-betting is a collection of tools that makes it easy to create machine learning models for sports betting and evaluate their perf
✨️🐍 SPARQL endpoint built with RDFLib to serve machine learning models, or any other logic implemented in Python
✨ SPARQL endpoint for RDFLib rdflib-endpoint is a SPARQL endpoint based on a RDFLib Graph to easily serve machine learning models, or any other logic
A time series processing library
Timeseria Timeseria is a time series processing library which aims at making it easy to handle time series data and to build statistical and machine l
"Neural Turing Machine" in Tensorflow
Neural Turing Machine in Tensorflow Tensorflow implementation of Neural Turing Machine. This implementation uses an LSTM controller. NTM models with m
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Intro Real-time object detection and classification. Paper: version 1, version 2. Read more about YOLO (in darknet) and download weight files here. In
Machine Learning Toolkit for Kubernetes
Kubeflow the cloud-native platform for machine learning operations - pipelines, training and deployment. Documentation Please refer to the official do
Magenta: Music and Art Generation with Machine Intelligence
Magenta is a research project exploring the role of machine learning in the process of creating art and music. Primarily this involves developing new
Run Keras models in the browser, with GPU support using WebGL
**This project is no longer active. Please check out TensorFlow.js.** The Keras.js demos still work but is no longer updated. Run Keras models in the
A Framework for Encrypted Machine Learning in TensorFlow
TF Encrypted is a framework for encrypted machine learning in TensorFlow. It looks and feels like TensorFlow, taking advantage of the ease-of-use of t
Implementation of the ivis algorithm as described in the paper Structure-preserving visualisation of high dimensional single-cell datasets.
Implementation of the ivis algorithm as described in the paper Structure-preserving visualisation of high dimensional single-cell datasets.
This project was created using Python technology and flask tools to scrape a music site
python-scrapping This project was created using Python technology and flask tools to scrape a music site You need to install the following packages to
RoadMap and preparation material for Machine Learning and Data Science - From beginner to expert.
ML-and-DataScience-preparation This repository has the goal to create a learning and preparation roadMap for Machine Learning Engineers and Data Scien
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)
Graph Posterior Network This is the official code repository to the paper Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classifica
Simple bots or Simbots is a library designed to create simple bots using the power of python. This library utilises Intent, Entity, Relation and Context model to create bots .
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
Python web-app (Flask) to browse Tandoor recipes on the local network
RecipeBook - Tandoor Python web-app (Flask) to browse Tandoor recipes on the local network. Designed for use with E-Ink screens. For a version that wo
FedTorch is an open-source Python package for distributed and federated training of machine learning models using PyTorch distributed API
FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.
UF3: a python library for generating ultra-fast interatomic potentials
Ultra-Fast Force Fields (UF3) S. R. Xie, M. Rupp, and R. G. Hennig, "Ultra-fast interpretable machine-learning potentials", preprint arXiv:2110.00624
MiniTorch - a diy teaching library for machine learning engineers
This repo is the full student code for minitorch. It is designed as a single repo that can be completed part by part following the guide book. It uses
Flask pre-setup architecture. This can be used in any flask project for a faster and better project code structure.
Flask pre-setup architecture. This can be used in any flask project for a faster and better project code structure. All the required libraries are already installed easily to use in any big project.
Application of the L2HMC algorithm to simulations in lattice QCD.
l2hmc-qcd 📊 Slides Recent talk on Training Topological Samplers for Lattice Gauge Theory from the Machine Learning for High Energy Physics, on and of
Python implementation of Bayesian optimization over permutation spaces.
Bayesian Optimization over Permutation Spaces This repository contains the source code and the resources related to the paper "Bayesian Optimization o
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
Sacred Every experiment is sacred Every experiment is great If an experiment is wasted God gets quite irate Sacred is a tool to help you configure, or
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
sklearn-evaluation Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking, and Jupyter notebook analysis. Suppo
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
AI Fairness 360 (AIF360) The AI Fairness 360 toolkit is an extensible open-source library containg techniques developed by the research community to h
Adaptive: parallel active learning of mathematical functions
adaptive Adaptive: parallel active learning of mathematical functions. adaptive is an open-source Python library designed to make adaptive parallel fu
PennyLane is a cross-platform Python library for differentiable programming of quantum computers
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural ne
QML: A Python Toolkit for Quantum Machine Learning
QML is a Python2/3-compatible toolkit for representation learning of properties of molecules and solids.
A Chinese to English Neural Model Translation Project
ZH-EN NMT Chinese to English Neural Machine Translation This project is inspired by Stanford's CS224N NMT Project Dataset used in this project: News C
Generate payloads that force authentication against an attacker machine
Hashgrab Generates scf, url & lnk payloads to put onto a smb share. These force authentication to an attacker machine in order to grab hashes (for exa
DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.
DiffWave DiffWave is a fast, high-quality neural vocoder and waveform synthesizer. It starts with Gaussian noise and converts it into speech via itera
Scalable machine learning based time series forecasting
mlforecast Scalable machine learning based time series forecasting. Install PyPI pip install mlforecast Optional dependencies If you want more functio
A collection of resources and papers on Diffusion Models, a darkhorse in the field of Generative Models
This repository contains a collection of resources and papers on Diffusion Models and Score-based Models. If there are any missing valuable resources
Neural HMMs are all you need (for high-quality attention-free TTS)
Neural HMMs are all you need (for high-quality attention-free TTS) Shivam Mehta, Éva Székely, Jonas Beskow, and Gustav Eje Henter This is the official
Rainbow DQN implementation accompanying the paper "Fast and Data-Efficient Training of Rainbow" which reaches 205.7 median HNS after 10M frames. 🌈
Rainbow 🌈 An implementation of Rainbow DQN which reaches a median HNS of 205.7 after only 10M frames (the original Rainbow from Hessel et al. 2017 re
Automatic learning-rate scheduler
AutoLRS This is the PyTorch code implementation for the paper AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly published
A Python script which randomly chooses and prints a file from a directory.
___ ____ ____ _ __ ___ / _ \ | _ \ | _ \ ___ _ __ | '__| / _ \ | |_| || | | || | | | / _ \| '__| | | | __/ | _ || |_| || |_| || __
Quick program made to generate alpha and delta tables for Hidden Markov Models
HMM_Calc Functions for generating Alpha and Delta tables from a Hidden Markov Model. Parameters: a: Matrix of transition probabilities. a[i][j] = a_{i
Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)
A simple API for working with University of California, Irvine (UCI) Machine Learning (ML) repository Table of Contents Introduction About Page of the
torchbearer: A model fitting library for PyTorch
Note: We're moving to PyTorch Lightning! Read about the move here. From the end of February, torchbearer will no longer be actively maintained. We'll
Pipeline for training LSA models using Scikit-Learn.
Latent Semantic Analysis Pipeline for training LSA models using Scikit-Learn. Usage Instead of writing custom code for latent semantic analysis, you j
Toolkit for developing and maintaining ML models
modelkit Python framework for production ML systems. modelkit is a minimalist yet powerful MLOps library for Python, built for people who want to depl
A Python library for simulating finite automata, pushdown automata, and Turing machines
Automata Copyright 2016-2021 Caleb Evans Released under the MIT license Automata is a Python 3 library which implements the structures and algorithms