Highlights
- Pro
Stars
High performance self-hosted photo and video management solution.
Installer & Activited Microsoft Office For MacOS
Sample Instagram App - Original Coast Clothing
Stable Diffusion with Core ML on Apple Silicon
Develop your own Instagram Clone App
A curated list of awesome Android UI/UX libraries
The best design tools and plugins for everything π
A Fido2 authenticator implementation in Android -- Compatible with NFC and BLE
NHS App Fido Client for Android
Multiple samples showing the best practices in security APIs on Android.
π A curated list of awesome WebAuthn and Passkey resources
Example app for using the Play Services Fido2 APIs
FIDO2 Android native sample app (Mirrored from https://gitlab.com/niconico-pun/fido2simpledemo)
Technical Indicators used in Stock Market Analysis
π¦ State-of-the-Art Conversational AI with Transfer Learning
Qulac: A dataset on asking Questions for Lack of Clarity in open-domain information-seeking conversations.
The code of ACL 2020 paper "You Impress Me: Dialogue Generation via Mutual Persona Perception"
code for QG-Net: A Data-Driven Question Generation Model for Educational Content
Code and Data for the paper: "Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information"
Dockerized code for E3: Entailment-driven Extracting and Editing for Conversational Machine Reading.
Sequence to Sequence Learning with Keras
TensorFlow implementation of the paper "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization" by Xun Huang and Serge Belongie
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
This code mainly implement the paper ' Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization ' by TensorFlow
Tensorflow Implementation of the Paper "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"
Fast Neural Style Transfer with Arbitrary Style using AdaIN Layer - Based on Huang et al. "Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization"