samfky

@samfky

samfky 暂无简介

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    samfky / dreampower forked from 子非鱼 / dreampower

    no description

    samfky / fay forked from xszyou / fay

    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。

    samfky / uaal-example

    samfky / mlkit

    A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

    samfky / flutter-unity-arkit-demo

    This demo uses flutter unity view widget to show AR KIT with Unity3D

    samfky / TressFX

    DirectX 11 library that provides convenient access to realistically rendered and simulated hair and fur

    samfky / HairWorks5.2.5

    Nividia HairWorks Unity Intergration

    samfky / xasset

    精简实用、高效安全的Unity资源管理方案。

    samfky / MyUnityFrameWork

    我的Unity框架,包含资源加载,配置加载,数据加载,UI管理,日志管理,动画系统,特效系统

    samfky / virtualFittingRoom

    Augmented Reality Fitting Room via Unity

    samfky / ML-assignments

    about Regression, Classification, CNN, RNN, Explainable AI, Adversarial Attack, Network Compression, Seq2Seq, GAN, Transfer Learning, Meta Learning, Life-long Learning, Reforcement Learning.

    samfky / MetalTutorialDemos

    Metal引擎基础入门与实践教程Demo源码

    samfky / generators-with-stylegan2

    Here is a series of face generators based on StyleGAN2

    samfky / Stock-Prediction-Models

    Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

    samfky / LSTM-Neural-Network-for-Time-Series-Prediction

    LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

    samfky / stock-rnn

    Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

    samfky / stockpredictionai

    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.

    samfky / quickstart-ios

    Firebase Quickstart Samples for iOS

    samfky / OpenFaceIOS

    OpenFace is get from https://github.com/TadasBaltrusaitis/OpenFace, a state-of-the art open source tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation. And I create an ios project. Delete Dlib,TBB,Boost. Only use OpenCV .

    samfky / face_recognition_ios

    face recognition and retrieve in ios

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