67 results for “topic:ae”
GPU Miner for ETH, RVN, BEAM, CFX, ZIL, AE, ERGO
Pytorch implementation of BERT4Rec and Netflix VAE.
코딩셰프의 3분 딥러닝, 케라스맛
A Sketch plugin to export sketch file to Adobe After Effect
A script can help generate css sprite animation from AE comps.
End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE Transactions on Biomedical Engineering)
A simple SDK for Aliexpress (dropshipping and affiliate) APIs.
A lightweight canvas2d-render & built-in an awesome animator with timeline manager
KAE : KAN-based AutoEncoder (AE, VAE, VQ-VAE, RVQ, etc.)
AES cryptographic library for .NET Framework and .NET Core
Tensorflow Examples
Create Avid bins with custom display settings
Save PNG slices in AE. Support multiple slice zones in one comp.
一款基于对象的 ScriptUI 解析器
AE批量导入字幕助手辅助脚本，支持常见的字幕格式如：SRT/ASS/SSA/LRC，以及脚本定制化TXT文本格式
The utility class for Adobe After Effects to get preferences as files or JSON objects
A modern C++ framework designed to revolutionize the way developers create plugins for Adobe After Effects. Aimed at both newcomers and seasoned plugin developers, AETK provides an extensive suite of tools and abstractions that streamline the development process, enabling more focus on creativity and innovation.
🌐 The website of the AE
AE插件SDK指南的非官方中文翻译版本，长期更新，欢迎贡献。
一款快捷调整 Ae 视图比例的脚本
AnimateToCSS is an After Effects plugin that exports AE animations to HTML + CSS code, similar to bodymovin but without requiring any third-party libraries. It also features one-click layer keyframe animation data extraction for easy development use. AnimateToCSS可以将 AE 动画导出为 HTML + CSS 代码，类似于 bodymovin，但无需安装任何第三方库。它还可以一键提取图层关键帧动画数据便于开发使用
Collection of autoencoder models in Tensorflow
Simple tools and coding experiments for my After Effects workflow.
NVIDIA & AMD GPU Miner for ETH, RVN, BEAM, CFX, ZIL, AE, ERGO
A set of macros that convert to and from the words: Grey, Gray, GREY, GRAY, Græy, and GRÆY.
no dev fee, no pool fee, 3-5 % hashrate boost on all AMD & NVIDIA, GPU Miner for ETH, RVN, BEAM, CFX, ZIL, AE, ERGO no-fee & no-limit
autoencoder implemented with tensorflow
In this project, we propose a cervical cancer detection and classification system using CNNs . We employ transfer learning and fine-tuning for enhanced performance. Classifiers like ELM and AE are added to increase the efficiency.
No description provided.
Small AE scripts for simple actions.