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@chronitis
chronitis / jupyter_kernel_list.md
Last active November 4, 2025 12:51
Updated Jupyter Kernels page

What is a kernel?

The kernel lets you run code in a particular programming language using one of the Jupyter tools, such as the Notebook, Jupyterlab or nteract. Installing additional kernels will let you run code in more languages using your existing jupyter installation.

Technically, the kernel is an application which speaks the Jupyter Messaging Protocol, to receive code input from the frontend and respond with the results.

Which kernels do I have installed?

In the Notebook or JupyterLab, the list of available kernels will be shown when trying to create a new notebook.

@rmoff
rmoff / docker-compose.yml
Last active June 2, 2024 17:14
Docker-Compose for Kafka and Zookeeper with internal and external listeners
---
version: '2'
services:
zookeeper:
image: confluentinc/cp-zookeeper:latest
environment:
ZOOKEEPER_CLIENT_PORT: 2181
ZOOKEEPER_TICK_TIME: 2000
kafka:
@zhiguangwang
zhiguangwang / README.md
Last active September 3, 2024 07:23
Building Unreal Engine Game Client and Dedicated Server on Linux.

Building Unreal Engine Game Client and Dedicated Server on Linux

Because the build tools of UE4 works across platforms (Windows, Mac OS, Linux), steps in this article can be applied to Mac OS and Windows as well.

On Windows, You need to replace RunUAT.sh with RunUAT.bat though.

Prerequisites

First, get Unreal Engine 4 sourcecode and export the following environment variables:

@drewsberry
drewsberry / UE4-build.bat
Last active October 31, 2024 17:01
UE4 Windows command line building
:: Build client
RunUAT BuildCookRun -project="full_path.uproject"^
-noP4 -platform=Win64^
-clientconfig=Development -serverconfig=Development^
-cook -allmaps -build -stage^
-pak -archive -archivedirectory="Output Directory"
:: Cook client
RunUAT BuildCookRun -project="full_project_path_and_project_name".uproject^
-noP4 -platform=Win64^
@baraldilorenzo
baraldilorenzo / readme.md
Last active September 13, 2025 12:17
VGG-16 pre-trained model for Keras

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman