the-lazy-val Goto Github PK

2017

awesome-flutter

An awesome list that curates the best Flutter libraries, tools, tutorials, articles and more.

awesome-scalability

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

azure-cli

Command-line tools for Azure.

azure-custom-build-image-test

azure-devops-utils

Azure DevOps Utilities

azure-mol-samples

Supporting resources for "Learn Azure in a Month of Lunches" (Manning Publications)

azure-quickstart-templates

Azure Quickstart Templates

bear_classifier

Demo bear classifier with fastai and Voila

best-flutter-ui-templates

completely free for everyone. Its build-in Flutter Dart.

cats

Lightweight, modular, and extensible library for functional programming.

chillify

Music App made with flutter

cloud-mta-build-tool

Multi-Target Application (MTA) build tool for Cloud Applications https://sap.github.io/cloud-mta-build-tool

course-v3

The 3rd edition of course.fast.ai

course20

Deep Learning for Coders, 2020, the website

designing-distributed-systems-labs

Labs for the Designing Distributed Systems book.

ds-algo-scala

fastbook2020

The fastai book, published as Jupyter Notebooks

federated-learning

Federated learning experiment using TensorFlow.js

findseat

A completed user flows Flutter app

fl

fl-android

Implementation of federated learning on Android devices. Please find more details in the website. (in Chinese)

flutter-beginners-tutorial

All course files for the Flutter Beginners playlist on The Net Ninja YouTube channel.

flutter_music_app

First Open Source Flutter based material design music player with audio plugin to play online music

flutter_web_dashboard

Flutter Bootstrap Style Admin UI

flutterwidgetguide

A flutter appliction listing all the widgets covered in Flutter widget of the week playlist.

functional-scala

The repository for the Functional Scala workshop.

functional-streamer

gpt-2-simple

Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

gpt2-bert-reddit-bot

a bot that generates realistic replies using a combination of pretrained GPT-2 and BERT models