Python Conditional-layer-normalization Resources

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Sandwich Batch Normalization Code for Sandwich Batch Normalization. Introduction We present Sandwich Batch Normalization (SaBN), an extremely easy imp

MindsDB is an open-source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning

Requestium is a Python library that merges the power of Requests, Selenium, and Parsel into a single integrated tool for automatizing web actions. The

Point Transformer - Pytorch Implementation of the Point Transformer self-attention layer, in Pytorch. The simple circuit above seemed to have allowed

Layered Neural Rendering in PyTorch This repository contains training code for the examples in the SIGGRAPH Asia 2020 paper "Layered Neural Rendering

pyDAL pyDAL is a pure Python Database Abstraction Layer. It dynamically generates the SQL/noSQL in realtime using the specified dialect for the databa

NAPALM NAPALM (Network Automation and Programmability Abstraction Layer with Multivendor support) is a Python library that implements a set of functio

pix2pix-keras Pix2pix implementation in keras. Original paper: Image-to-Image Translation with Conditional Adversarial Networks (pix2pix) Paper Author

MindsDB is an open-source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning

PyFilesystem2 Python's Filesystem abstraction layer. Documentation Wiki API Documentation GitHub Repository Blog Introduction Think of PyFilesystem's