Fay是一个完整的开源项目，包含Fay控制器及数字人模型。它提供了灵活的模块化设计，使开发人员能够定制和组合各种功能模块，包括情绪分析、NLP处理、语音合成和语音输出等。Fay数字人助理版为开发人员提供了强大的工具和资源，用于构建智能、个性化和多功能的数字助理应用。通过该版本，开发人员可以轻松创建适用于各种场景和领域的数字人助理，为用户提供智能化的语音交互和个性化服务。
The Forge Cross-Platform Rendering Framework PC, Linux, Ray Tracing, macOS / iOS, Android, XBOX, PS4
A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS
Embeddable unity game engine view for Flutter. Advance demo here https://github.com/juicycleff/flutter-unity-arkit-demo
This demo uses flutter unity view widget to show AR KIT with Unity3D
DirectX 11 library that provides convenient access to realistically rendered and simulated hair and fur
about Regression, Classification, CNN, RNN, Explainable AI, Adversarial Attack, Network Compression, Seq2Seq, GAN, Transfer Learning, Meta Learning, Life-long Learning, Reforcement Learning.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
