Python High-resolution-net Resources

SynthSR This repository contains code to train a Convolutional Neural Network (CNN) for Super-resolution (SR), or joint SR and data synthesis. The met

asyncpg -- A fast PostgreSQL Database Client Library for Python/asyncio asyncpg is a database interface library designed specifically for PostgreSQL a

Light Gradient Boosting Machine LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed a

Releases | Gears | Documentation | Installation | License VidGear is a High-Performance Video Processing Python Library that provides an easy-to-use,

Mimesis - Fake Data Generator Description Mimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes

Mimesis - Fake Data Generator Description Mimesis is a high-performance fake data generator for Python, which provides data for a variety of purposes

Elasticsearch DSL Elasticsearch DSL is a high-level library whose aim is to help with writing and running queries against Elasticsearch. It is built o

FastAPI framework, high performance, easy to learn, fast to code, ready for production Documentation: https://fastapi.tiangolo.com Source Code: https:

HDBSCAN Now a part of scikit-learn-contrib HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications with Noise. Performs DBSCAN over va

Dedupe Python Library dedupe is a python library that uses machine learning to perform fuzzy matching, deduplication and entity resolution quickly on

A Python library for high performance ensemble learning ML-Ensemble combines a Scikit-learn high-level API with a low-level computational graph framew

What is xLearn? xLearn is a high performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machin

Website | Documentation | Tutorials | Installation | Release Notes CatBoost is a machine learning method based on gradient boosting over decision tree

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate. Website • Key Features • How To Use • Docs •

Deep High-Resolution Representation Learning for Human Pose Estimation (CVPR 2019) News [2020/07/05] A very nice blog from Towards Data Science introd

H2O H2O is an in-memory platform for distributed, scalable machine learning. H2O uses familiar interfaces like R, Python, Scala, Java, JSON and the Fl

Cola: high-level distributed crawling framework Overview Cola is a high-level distributed crawling framework, used to crawl pages and extract structur

IronPython 3 IronPython3 is NOT ready for use yet. There is still much that needs to be done to support Python 3.x. We are working on it, albeit slowl

CyToolz Cython implementation of the toolz package, which provides high performance utility functions for iterables, functions, and dictionaries. tool

Luigi is a Python (3.6, 3.7 tested) package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow managemen

pyinfra automates/provisions/manages/deploys infrastructure super fast at massive scale. It can be used for ad-hoc command execution, service deployme

Kotti Kotti is a high-level, Pythonic web application framework based on Pyramid and SQLAlchemy. It includes an extensible Content Management System c

FastAPI framework, high performance, easy to learn, fast to code, ready for production Documentation: https://fastapi.tiangolo.com Source Code: https:

Pydub Pydub lets you do stuff to audio in a way that isn't stupid. Stuff you might be looking for: Installing Pydub API Documentation Dependencies Pla

uvloop is a fast, drop-in replacement of the built-in asyncio event loop. uvloop is implemented in Cython and uses libuv under the hood. The project d