"If the virus is everywhere, what's the point of preparedness?"

On neither why continuing about your day as usual…
from twitter_favs
4 weeks ago
taivop/awesome-data-annotation: A list of tools for annotating data, managing annotations, etc.
A list of tools for annotating data, managing annotations, etc. - taivop/awesome-data-annotation
machinelearning  deeplearning  annotation  tools 
7 weeks ago
Spooky dev environment hack: add xn--9q8h

to /etc/hosts and then all your dev servers can be access…
from twitter_favs
12 weeks ago
The three most important things experts understand about software security:

1. Software is unbelievably unreliable…
from twitter_favs
november 2019
GitHub - grafana/grafonnet-lib: Jsonnet library for generating Grafana dashboard files.
Grafonnet provides a simple way of writing Grafana dashboards. It leverages the data templating language Jsonnet. It enables you to write reusable components that you can use and reuse for multiple dashboards.
monitoring  grafana  development  operations  metrics 
november 2019
src-d/awesome-machine-learning-on-source-code: Cool links & research papers related to Machine Learning applied to source code (MLonCode)
A curated list of awesome research papers, datasets and software projects devoted to machine learning and source code. #MLonCode
machinelearning  code  tools  research  datasets  development 
october 2019
GitHub - taivop/nlp-datasets: Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP) - taivop/nlp-datasets
nlp  datasets  resources  research 
october 2019
mwouts/jupytext: Jupyter notebooks as Markdown documents, Julia, Python or R scripts
Jupytext can save Jupyter notebooks as

* Markdown and R Markdown documents,
* Scripts in many languages.

It can also convert these documents into Jupyter Notebooks, allowing you to synchronize content in both directions.
jupyter  datascience  tools  python 
september 2019
heremaps/oss-review-toolkit: A suite of tools to assist with reviewing Open Source Software dependencies.
The OSS Review Toolkit (ORT) assists with verifying Free and Open Source Software license compliance by checking a project's source code and its dependencies.

From a bird's eye, it works by analyzing the project's build system for dependencies, downloading the source code of the dependencies, scanning all source code for license information, and summarizing the results.

The different tools that make up ORT are designed as libraries (for programmatic use), with a minimal command line interface (for scripted use).
tools  opensource  development 
september 2019
[1710.05941] Searching for Activation Functions
The choice of activation functions in deep networks has a significant effect on the training dynamics and task performance. Currently, the most successful and widely-used activation function is the Rectified Linear Unit (ReLU). Although various hand-designed alternatives to ReLU have been proposed, none have managed to replace it due to inconsistent gains. In this work, we propose to leverage automatic search techniques to discover new activation functions. Using a combination of exhaustive and reinforcement learning-based search, we discover multiple novel activation functions. We verify the effectiveness of the searches by conducting an empirical evaluation with the best discovered activation function. Our experiments show that the best discovered activation function, f(x)=x⋅sigmoid(βx), which we name Swish, tends to work better than ReLU on deeper models across a number of challenging datasets. For example, simply replacing ReLUs with Swish units improves top-1 classification accuracy on ImageNet by 0.9\% for Mobile NASNet-A and 0.6\% for Inception-ResNet-v2. The simplicity of Swish and its similarity to ReLU make it easy for practitioners to replace ReLUs with Swish units in any neural network.
paper  deeplearning  activationfunction  machinelearning  research  year:2017 
september 2019
[1704.01568] Best Practices for Applying Deep Learning to Novel Applications
This report is targeted to groups who are subject matter experts in their application but deep learning novices. It contains practical advice for those interested in testing the use of deep neural networks on applications that are novel for deep learning. We suggest making your project more manageable by dividing it into phases. For each phase this report contains numerous recommendations and insights to assist novice practitioners.
paper  deeplearning  machinelearning  bestpractices  year:2017  tutorial 
september 2019
Ledger Practices - Felix Crux
Start of a series describing how I use the Ledger accounting system.
ledger  accounting  tutorial 
september 2019
Testcontainers is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.
docker  java  junit  testing  development  integrationtesting 
september 2019
VGG Image Annotator (VIA)
VGG Image Annotator is a simple and standalone manual annotation software for image, audio and video. VIA runs in a web browser and does not require any installation or setup. The complete VIA software fits in a single self-contained HTML page of size less than 400 Kilobyte that runs as an offline application in most modern web browsers.

VIA is an open source project based solely on HTML, Javascript and CSS (no dependency on external libraries). VIA is developed at the Visual Geometry Group (VGG) and released under the BSD-2 clause license which allows it to be useful for both academic projects and commercial applications.
annotation  tools  machinelearning 
september 2019
Standard Ebooks: Free and liberated ebooks, carefully produced for the true book lover.
Free and liberated ebooks, carefully produced for the true book lover. Download free ebooks with professional-quality formatting and typography, in formats compatible with your ereader.
ebooks  publicdomain  typography 
august 2019
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