tamiki29's starred repositories
gpt4-pdf-chatbot-langchain
GPT4 & LangChain Chatbot for large PDF docs
ConfettiSwiftUI
SwiftUI Package for Configurable Confetti Animation π
python-fints
Pure-python FinTS (formerly known as HBCI) implementation
keras-retinanet
Keras implementation of RetinaNet object detection.
spark-gotchas
Spark Gotchas. A subjective compilation of the Apache Spark tips and tricks
component-library
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
Flare-Flutter
Load and get full control of your Rive files in a Flutter project using this library.
serverless-authentication-boilerplate
Generic authentication boilerplate for Serverless framework
react-sketchapp
render React components to Sketch βοΈπ
TFHubSample
Demonstration of usage of different types of TensorFlow Hub modules integrated with Datasets, Iterators and Saved_Models.
calabash-ios
Calabash for iOS
fastlane-plugin-appcenter
App Center fastlane integration.
coursera-dl
Script for downloading Coursera.org videos and naming them.
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
kano-pixel-kit-pixel32
Code MicroPython on your Kano Pixel Kit on the browser
tfjs-models
Pretrained models for TensorFlow.js
VS2015-Dark-Android-Studio
Visual Studio 2015 Dark Theme for Android Studio / IntelliJ
audioplayer
A flutter plugin to play audio files iOS / Android / MacOS / Web ( Swift/Java )
awesome-design-patterns
A curated list of software and architecture related design patterns.
super-simple-audio-player
:saxophone: Super Simple Audio Player Project for Getting Started
MyDriving
Building IoT or Mobile solutions are fun and exciting. This year for Build, we wanted to show the amazing scenarios that can come together when these two are combined. So, we went and developed a sample application. MyDriving uses a wide range of Azure services to process and analyze car telemetry data for both real-time insights and long-term patterns and trends. The following features are supported in the current version of the mobile app.