Awesome List Updates on Sep 11, 2020

12 awesome lists updated today.

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1. Awesome Dataviz

Python tools / Misc

• ipychart (⭐62) - The power of Chart.js in Jupyter Notebook.

2. Awesome Android Ui

Menu

• Name: ExpandableBottomBar (⭐677)

  License: MIT

  Demo:

3. Awesome Git Hooks

Tools / update

• Git Build Hook Maven Plugin (⭐117) - Install Git hooks and config during a Maven build.

4. Awesome Cross Platform Nodejs

Applications / Continuous integration

• Github Action - Windows/macOS/Linux. GitHub Actions makes it easy to automate all your software workflows.

• Gitlab CI - Windows/macOS/Linux. GitLab CI/CD is a tool built into GitLab for software development.

5. Awesome Machine Learning

Python / Computer Vision

• Self-supervised learning

Python / General-Purpose Machine Learning

• ML/DL project template (⭐1.2k)

• PyTorch Lightning (⭐28k) - The lightweight PyTorch wrapper for high-performance AI research.

• PyTorch Lightning Bolts (⭐1.7k) - Toolbox of models, callbacks, and datasets for AI/ML researchers.

• Determined (⭐3k) - Scalable deep learning training platform, including integrated support for distributed training, hyperparameter tuning, experiment tracking, and model management.

6. Awesome Algorithms

Cheat Sheets / Randomized Algorithms

• Rice university DS course in short

7. Awesome Mongodb

Resources / More

• MongoDB 101 by Academy 3T - Free and self-paced MongoDB courses for beginners

Tools / Desktop

• DataGrip - Cross-platform JetBrains' IDE

• TablePlus - Native, lightweight GUI on macOS

8. Awesome Sre

Culture

• The Cloudcast #301: SRE and Infrastructure Operations (Podcast)

• Meeting reliability challenges with SRE principles

Reliability

• Rethinking Task Size in SRE

Monitoring & Observability & Alerting

• Elastic Observability in SRE and Incident Response

On-Call

• How we’ve evolved on-call at Monzo

• Writing Runbook Documentation When You’re An SRE

• Incident response, programs and you(r startup)

• An Incident Command Training Handbook

Post-Mortem

• Improving Postmortem Practices with Veteran Google SRE, Steve McGhee

Service Level Agreement

• Succeeding With Service Level Objectives

• Putting customers first with SLIs and SLOs

• SRE Leadership: Have Tiered SLAs

• How SLOs Enable Fast, Reliable Application Delivery

Blogs

• Squadcast Blog - Blog posts about SRE best practices, reliability, on-call and incident management.

Twitter

• The SRE Dev - SRE-related Posts from dev.to.

9. Free for Dev

CI and CD

• cirrus-ci.org - Free for public GitHub repositories

• codemagic.io - Free 500 build minutes/month

• drone - Drone Cloud enables developers to run Continuous Delivery pipelines across multiple architectures - including x86 and Arm (both 32-bit and 64-bit) - all in one place

• Squash Labs — creates a VM for each branch and makes your app available from a unique URL, Unlimited public & private repos, Up to 2 GB VM Sizes.

Issue Tracking and Project Management

• Tweek — Simple Weekly To-Do Calendar & Task Management.

10. Awesome Splunk

Apps

• Miscellaneous Scripts for fixing issues with the Universal Forwarder (⭐23) - This kit was compiled based on common issues with Splunk deployments and managing idiosyncrasies that tend to naturally occur.

11. Awesome Tensorflow Lite

TensorFlow Lite models / Other

• MobileNet (⭐75k) - Pretrained MobileNet v2 and v3 models.

TensorFlow models / Other

• TensorFlow models (⭐75k) - Official TensorFlow models.

Plugins and SDKs / Other

• MediaPipe (⭐19k) - A cross platform (mobile, desktop and Edge TPUs) AI pipeline by Google AI. (PM Ming Yong) | MediaPipe examples.

Helpful links / Other

• Netron (⭐20k) - A tool for visualizing models.

• AI benchmark - A website for benchmarking computer vision models on smartphones.

• Material design guidelines for ML - How to design machine learning powered features. A good example: ML Kit Showcase App (⭐488).

• The People + AI Guide book - Learn how to design human-centered AI products.

MOOCs / Other

• Introduction to TensorFlow Lite - Udacity course by Daniel Situnayake (@dansitu), Paige Bailey (@DynamicWebPaige), and Juan Delgado.

• Device-based Models with TensorFlow Lite - Coursera course by Laurence Moroney (@lmoroney).

12. Awesome Quantum Computing

Development Tools

• TensorFlow Quantum - A quantum machine learning library that integrates Cirq with TensorFlow for prototyping of hybrid quantum-classical models for classical or quantum data.

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• Next: Sep 10, 2020