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android-components

A collection of Android libraries to build browsers or browser-like applications.

antennapod

A podcast manager for Android

apps-android-commons

Upload pictures from Android to Wikimedia Commons. Looking for volunteers! Come say hi at https://groups.google.com/d/forum/commons-app-android and install at https://play.google.com/store/apps/details?id=fr.free.nrw.commons

awesome-podcasts

Collection of awesome podcasts

bioinformatics-with-python-cookbook-second-edition

Bioinformatics with Python Cookbook Second Edition, published by Packt

free-programming-books

:books: Freely available programming books

freecodecamp-guide

A collection of easy-to-understand guides to programming tools

fw-api

Headers for WLAN FW

githubactions-liquibase

google-http-java-client

Google HTTP Client Library for Java

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt-2-output-dataset

Dataset of GPT-2 outputs for research in detection, biases, and more

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hashicat-gcp

HashiCat Meow World Terraform code for GCP

katacoda-scenarios

Katacoda Scenarios

kernel-manifest

Repo manifest for Essential Products kernel and modules

linux

Linux kernel source tree for Essential Products devices

ludwig

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

modernize-apps-katacoda

Katacoda scenarios for learning how to modernize existing apps using JBoss and OpenShift

plato-research-dialogue-system

This is the Plato Research Dialogue System, a flexible platform for developing conversational AI agents.

qca-wifi-host-cmn

CNSS WLAN Host Driver

qcacld-3.0

CNSS WLAN Host Driver

sourcetrail

Sourcetrail - free and open-source cross-platform source explorer

springer-free-books

A List of Freely Available Springer E-Books

stock-price-prediction

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.

terraform-google-network

A Terraform module that makes it easy to set up a new VPC Network in GCP.

tfc-workshops-sentinel

Sentinel policies for use in pre-sales workshops: https://hashicorp.github.io/workshops

wyzedashboard