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5 great background websites for every web developer and designer


1. Magic pattern

Beautiful pure CSS background patterns that you can actually use in your projects. They are highly customizable as well.


2. Cool backgrounds

Collection of cool backgrounds that you can add to blogs, websites, or as desktop and phone wallpapers

🖇️ https://t.co/df7VSb9t8H

3. Gradienta

Use pure CSS gradient backgrounds for your next website or app, as a JPG image or CSS code, no attribute required

🖇️ https://t.co/R58zrwpZCH

4 Mesh gradient

Creat aurora UI like gradients using few simple clicks

🖇️ https://t.co/vOHHDASr1V
You can learn 90% of CSS using these 10 threads


1. All you need to know about CSS

2. Getting started with CSS animations

3. Z-index is tricky but this thread solve all your doubts

4. CSS positioning concepts
5 best color palette for every web developer and designer 🎨


1. Color hunt

- Color Hunt is a free and open platform for color inspiration with thousands of trendy hand- picked color palettes


2. Adobe color wheel

Explore and create accessible color palettes using color wheel, in variety of color variations and contrast levels. It will tell you automatically if two colors are not accessible

🖇️ https://t.co/ndsgBauTEc

3. Palette Ninja

Palette ninja is an online color scheme generator that allows you to create harmonious color schemes in seconds

🖇️ https://t.co/cuzP21tn2Z

4. My color space

Here you can find the perfect matching color scheme for your next project! Generate nice color palettes, color gradients and much more! Your space for everything that has to do with color

🖇️ https://t.co/kmjrXOceAj
*Reproducible deep learning*
Lectures 3 and 4 are out!

With code versioning out of the way, it is time to look at data versioning (@DVCorg) and environment isolation (@Docker).

All information in a small thread. 👇 /n

If you know Git, you (almost) know @DVCorg!

A fantastic tool to secure your data in a number of remotes, or to create "data repositories" from which to immediately get folders and artifacts.

My intro to DVC:


For the course, I created a simple exercise tasking you with initializing DVC on the repository, and syncing the data locally and remotely.

To simulate an S3-like interface, we use a small https://t.co/91bFj7KSPG server and boto3.

Code: https://t.co/KDSX80aqJs


Next up, it is time to "dockerize" your environment!

Docker has become an almost de-facto standard, and knowing it is practically indispensable today.

A very quick introduction, glossing over a number of details: https://t.co/XSrUZNhd3g


In the corresponding exercise, you will learn about creating a working environment in Docker, packaging the entire training loop, and pushing/pulling an image from the Hub.

Code is here:
5 amazing GitHub repositories for every self taught developer

A Thread 🧵

1️⃣ Computer Science

🎓 Path to a free self-taught education in Computer Science!


2️⃣ Free Certifications

Curated list of free courses & certifications

🔗 https://t.co/4XtlAVlovs

3️⃣ Free Programming Books

📚 Freely available programming books

🔗 https://t.co/eOWLCtwtIV

4️⃣ JavaScript Question

A long list of (advanced) JavaScript questions, and their explanations ✨

🔗 https://t.co/UvEl1Esvh3
*Reproducible Deep Learning*

The first two exercises are out!

We start quick and easily, with some simple manipulation on Git branches, scripting, audio classification, and configuration with @Hydra_Framework.

Small thread with all information 🙃 /n

Reproducibility is associated to production environments and MLOps, but it is a major concern today also in the research community.

My biased introduction to the issue is here:

The local setup is on the repository: https://t.co/9mhtZoJhE9

The use case for the course is a small audio classification model trained on event detection with the awesome @PyTorchLightnin library.

Feel free to check the notebook if you are unfamiliar with the task. /n

I spent some time understanding how to make the course as modular and "reproducible" as possible.

My solution is to split each exercise into a separate Git branch containing all the instructions, and a separate branch with the solution.

Two branches for now (Git and Hydra). /n

How well do you *really* know Git? The more I learn, the more I find it incredible.

I summarized most of the information on a separate set of slides: https://t.co/6dSmK3IfWB

Be sure to check them out before continuing! /n