Python ULTRA Resources

Euro-Truck-Simulator-2-Lane-Assist Lane assist for ETS2, built with the ultra-fast-lane-detection model. This project was made possible by the amazing

GLNet for Memory-Efficient Segmentation of Ultra-High Resolution Images Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-

Ionburst SDK for Python The Ionburst SDK for Python enables developers to easily integrate with Ionburst Cloud, building in ultra-secure and private o

FastWSGI - An ultra fast WSGI server for Python 3

Ultra-Fast Force Fields (UF3) S. R. Xie, M. Rupp, and R. G. Hennig, "Ultra-fast interpretable machine-learning potentials", preprint arXiv:2110.00624

Unbiased Learning to Rank Algorithms (ULTRA) This is an Unbiased Learning To Rank Algorithms (ULTRA) toolbox, which provides a codebase for experiment

Ultralight-SimplePose Support NCNN mobile terminal deployment Based on MXNET(=1.5.1) GLUON(=0.7.0) framework Top-down strategy: The input image is t

UltraGCN This is our Pytorch implementation for our CIKM 2021 paper: Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He. UltraGCN: A

This is an Unbiased Learning To Rank Algorithms (ULTRA) toolbox, which provides a codebase for experiments and research on learning to rank with human annotated or noisy labels.

PyTorch implementation of the paper Ultra Fast Structure-aware Deep Lane Detection

A ultra-lightweight 3D renderer of the Tensorflow/Keras neural network architectures

TFlite Ultra Fast Lane Detection Inference Example scripts for the detection of lanes using the ultra fast lane detection model in Tensorflow Lite. So

Example scripts for the detection of lanes using the ultra fast lane detection model in ONNX.

Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

Ultra_Fast_Lane_Detection_TensorRT An ultra fast tiny model for lane detection, using onnx_parser, TensorRTAPI to accelerate. our model support for in

Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization Official PyTorch implementation for our URST (Ultra-Resolution Sty

English | 简体中文 Introduction PaddleOCR aims to create multilingual, awesome, leading, and practical OCR tools that help users train better models and a

Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly Code for this paper Ultra-Data-Efficient GAN Tra

Python MSS from mss import mss # The simplest use, save a screen shot of the 1st monitor with mss() as sct: sct.shot() An ultra fast cross-platfo

BitPack is a practical tool that can efficiently save quantized neural network models with mixed bitwidth.

UltraJSON UltraJSON is an ultra fast JSON encoder and decoder written in pure C with bindings for Python 3.6+. Install with pip: $ python -m pip insta

UltraJSON UltraJSON is an ultra fast JSON encoder and decoder written in pure C with bindings for Python 3.6+. Install with pip: $ python -m pip insta

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