Utility code for use with PyXLL

Last update: Dec 18, 2021

Related tags

Deep Learning pyxll-utils

Overview

pyxll-utils

There is no need to use this package as of PyXLL 5. All features from this package are now provided by PyXLL.

If you were using this package with earlier versions of PyXLL please see the following:

extension_loader: Replace with https://www.pyxll.com/docs/userguide/distribution.html#setuptools-entry-points
objectcache: Use PyXLL's object type https://www.pyxll.com/docs/userguide/udfs/cached-objects.html
pandastypes: Use PyXLL's panadas types https://www.pyxll.com/docs/userguide/pandas.html
ribbon_synthesizer: See https://www.pyxll.com/docs/userguide/ribbon.html#merging-ribbon-files
resize_array_formula: See https://www.pyxll.com/docs/userguide/udfs/arrayfuncs.html

Utility code for use with PyXLL - The Python Excel Add-In.

Full documentation can be found here: http://pyxll-utils.readthedocs.org/en/latest/.

Owner

PyXLL

GitHub Repository

[NeurIPS 2020] Official repository for the project "Listening to Sound of Silence for Speech Denoising"

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Pytorch implementation of "Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech"

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Utility code for use with PyXLL

Related tags

Overview

pyxll-utils

Owner

PyXLL

[NeurIPS 2020] Official repository for the project "Listening to Sound of Silence for Speech Denoising"

Most popular metrics used to evaluate object detection algorithms.

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

Visual Adversarial Imitation Learning using Variational Models (VMAIL)

Pytorch implementation of "Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech"

Unofficial PyTorch implementation of the Adaptive Convolution architecture for image style transfer

Adversarial Learning for Modeling Human Motion

Robot Servers and Server Manager software for robo-gym

Training, generation, and analysis code for Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics

HIVE: Evaluating the Human Interpretability of Visual Explanations

This repo provides the official code for TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/pdf/2103.04430.pdf).

Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)

UMPNet: Universal Manipulation Policy Network for Articulated Objects

This is an official implementation of the High-Resolution Transformer for Dense Prediction.

Underwater image enhancement

The official github repository for Towards Continual Knowledge Learning of Language Models

BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

Training Cifar-10 Classifier Using VGG16

It is a simple library to speed up CLIP inference up to 3x (K80 GPU)

GANmouflage: 3D Object Nondetection with Texture Fields