Fontimize: Subset Fonts to Exactly and Only Your Website's Used Characters
Fontimize is a Python library that enables the creation of font subsets containing only the specific glyphs needed for text or HTML, thereby reducing the initial download size of websites and optimizing bandwidth usage.
https://daveon.design/introducing-fontimize-subset-fonts-to-exactly-and-only-your-websites-used-characters.html
Fontimize is a Python library that enables the creation of font subsets containing only the specific glyphs needed for text or HTML, thereby reducing the initial download size of websites and optimizing bandwidth usage.
https://daveon.design/introducing-fontimize-subset-fonts-to-exactly-and-only-your-websites-used-characters.html
Dave on Design
Introducing Fontimize| Subset Fonts to Exactly and Only Your Website's Used Characters
A Python library to subset fonts, which cuts ~95% from the size of your site’s font files & downloads/bandwidth. To use: from fontimize import optimise_fonts_for_files and call it with a list of HTML files. See the the full API docs for more info.
Find…
Find…
MotionCtrl
A Unified and Flexible Motion Controller for Video Generation.
https://github.com/TencentARC/MotionCtrl
A Unified and Flexible Motion Controller for Video Generation.
https://github.com/TencentARC/MotionCtrl
GitHub
GitHub - TencentARC/MotionCtrl: Official Code for MotionCtrl [SIGGRAPH 2024]
Official Code for MotionCtrl [SIGGRAPH 2024]. Contribute to TencentARC/MotionCtrl development by creating an account on GitHub.
semantic-router
Semantic Router is a superfast decision layer for your LLMs and agents. Rather than waiting for slow LLM generations to make tool-use decisions, we use the magic of semantic vector space to make those decisions — routing our requests using semantic meaning.
https://github.com/aurelio-labs/semantic-router
Semantic Router is a superfast decision layer for your LLMs and agents. Rather than waiting for slow LLM generations to make tool-use decisions, we use the magic of semantic vector space to make those decisions — routing our requests using semantic meaning.
https://github.com/aurelio-labs/semantic-router
GitHub
GitHub - aurelio-labs/semantic-router: Superfast AI decision making and intelligent processing of multi-modal data.
Superfast AI decision making and intelligent processing of multi-modal data. - aurelio-labs/semantic-router
DocFlow
DocFlow is a powerful Document Management API designed to streamline document handling, including seamless uploading, downloading, organization, versioning, sharing, and more.
https://github.com/jiisanda/docflow
DocFlow is a powerful Document Management API designed to streamline document handling, including seamless uploading, downloading, organization, versioning, sharing, and more.
https://github.com/jiisanda/docflow
GitHub
GitHub - jiisanda/docflow: DocFlow is a powerful Document Management API designed to streamline document handling, including seamless…
DocFlow is a powerful Document Management API designed to streamline document handling, including seamless uploading, downloading, organization, versioning, sharing, and more. - jiisanda/docflow
Asyncio Logging Without Blocking
You can implement non-blocking logging in asyncio programs by using a shared Queue with a ...
https://superfastpython.com/asyncio-log-blocking/
You can implement non-blocking logging in asyncio programs by using a shared Queue with a ...
https://superfastpython.com/asyncio-log-blocking/
Super Fast Python
Asyncio Logging Without Blocking - Super Fast Python
You can implement non-blocking logging in asyncio programs by using a shared Queue with a QueueHandler to log messages and a QueueListener to store log messages. In this tutorial, you will discover how to log without blocking from asyncio programs in Python.…
Retro on Viberary
The article reflects on the author's experience with Viberary, a side project aimed at finding books based on a particular vibe. The project was created to explore machine learning side projects and the intersection of search and recommendations, serving as a production-grade complement to the author's recent deep dive into embeddings.
https://vickiboykis.com/2024/01/05/retro-on-viberary/
The article reflects on the author's experience with Viberary, a side project aimed at finding books based on a particular vibe. The project was created to explore machine learning side projects and the intersection of search and recommendations, serving as a production-grade complement to the author's recent deep dive into embeddings.
https://vickiboykis.com/2024/01/05/retro-on-viberary/
★❤✰ Vicki Boykis ★❤✰
Retro on Viberary
Do fun projects
ali-vilab / i2vgen-xl
Official repo for VGen: a holistic video generation ecosystem for video generation building on diffusion models
https://github.com/ali-vilab/i2vgen-xl
Official repo for VGen: a holistic video generation ecosystem for video generation building on diffusion models
https://github.com/ali-vilab/i2vgen-xl
GitHub
GitHub - ali-vilab/i2vgen-xl
Contribute to ali-vilab/i2vgen-xl development by creating an account on GitHub.
Experimenting with Handwriting Recognition for The New York Times Crossword
The article discusses the exploration of handwriting recognition in The New York Times Crossword app during the MakerWeek 2023 hackathon. The project involved implementing on-device machine learning for handwriting recognition on both iOS and Android platforms, with the potential for interactive features like "Scribble-to-Erase" detection and in-app self-training mechanisms.
https://open.nytimes.com/experimenting-with-handwriting-recognition-for-new-york-times-crossword-a78e08fec08f
The article discusses the exploration of handwriting recognition in The New York Times Crossword app during the MakerWeek 2023 hackathon. The project involved implementing on-device machine learning for handwriting recognition on both iOS and Android platforms, with the potential for interactive features like "Scribble-to-Erase" detection and in-app self-training mechanisms.
https://open.nytimes.com/experimenting-with-handwriting-recognition-for-new-york-times-crossword-a78e08fec08f
NY Times
Experimenting with Handwriting Recognition for The New York Times Crossword
By Shafik Quoraishee
Fun With Scrapy Link Validation on CI
How can you make sure, automatically, that all the links to other internal pages within a site continue to work? In this article, we look at how to use Scrapy, a web scraping tool, and GitHub Actions, a Continuous Integration system, to accomplish this goal.
https://www.mattlayman.com/blog/2024/fun-scrapy-validation-ci/
How can you make sure, automatically, that all the links to other internal pages within a site continue to work? In this article, we look at how to use Scrapy, a web scraping tool, and GitHub Actions, a Continuous Integration system, to accomplish this goal.
https://www.mattlayman.com/blog/2024/fun-scrapy-validation-ci/
Matt Layman
Fun With Scrapy Link Validation on CI
How can you make sure, automatically, that all the links to other internal pages within a site continue to work? In this article, we look at how to use Scrapy, a web scraping tool, and GitHub Actions, a Continuous Integration system, to accomplish this goal.
Deploying AI-powered Django apps to Modal.com
Modal is a great place to deploy Python apps that use AI models and require GPU. Here’s how to use Modal with Django apps.
https://tolkunov.dev/posts/django-on-modal/
Modal is a great place to deploy Python apps that use AI models and require GPU. Here’s how to use Modal with Django apps.
https://tolkunov.dev/posts/django-on-modal/
tolkunov.dev
Deploying AI-powered Django apps to Modal.com
Modal is a great place to deploy Python apps that use AI models and require GPU. Here’s how to use Modal with Django apps.
A Deep Dive Into Python's functools.wraps Decorator
The article discusses the importance of the functools.wraps decorator in Python. It explains how the decorator helps to preserve metadata when wrapping one object over another, particularly when developing Python decorators. The author emphasizes the significance of this decorator due to the potential loss of valuable metadata from the encapsulated object.
https://jacobpadilla.com/articles/Functools-Deep-Dive
The article discusses the importance of the functools.wraps decorator in Python. It explains how the decorator helps to preserve metadata when wrapping one object over another, particularly when developing Python decorators. The author emphasizes the significance of this decorator due to the potential loss of valuable metadata from the encapsulated object.
https://jacobpadilla.com/articles/Functools-Deep-Dive
Jacob Padilla
A Deep Dive Into Python's functools.wraps Decorator
Take a deep dive into Python's functools.wraps decorator to learn how it maintains metadata in your code. A concise guide to effective decorator use.
Using formatters and linters to manage a large codebase
At Kraken Tech we have a large global development team with over 500 developers, the majority of which work on the same monolithic codebase comprising more than 4 million lines of Python code. We release new code over 100 times a day, running hundreds of thousands of tests in the process. So how can we ensure high coding quality in a distributed team, with such frequent changes? And how ...
https://tech.octopus.energy/news/2024/01/05/linting-and-formatting.html
At Kraken Tech we have a large global development team with over 500 developers, the majority of which work on the same monolithic codebase comprising more than 4 million lines of Python code. We release new code over 100 times a day, running hundreds of thousands of tests in the process. So how can we ensure high coding quality in a distributed team, with such frequent changes? And how ...
https://tech.octopus.energy/news/2024/01/05/linting-and-formatting.html
tech.octopus.energy
Using formatters and linters to manage a large codebase | Tech blog | Kraken Tech
Kraken is the world's leading customer & culture platform for utilities.
prs-eth / Marigold
Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
https://github.com/prs-eth/Marigold
Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
https://github.com/prs-eth/Marigold
GitHub
GitHub - prs-eth/Marigold: [CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators…
[CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation - prs-eth/Marigold
aloha
A Low-cost Open-source Hardware System for Bimanual Teleoperation.
https://github.com/tonyzhaozh/aloha
A Low-cost Open-source Hardware System for Bimanual Teleoperation.
https://github.com/tonyzhaozh/aloha
GitHub
GitHub - tonyzhaozh/aloha
Contribute to tonyzhaozh/aloha development by creating an account on GitHub.
Data Analyst Bootcamp for Beginners (SQL, Tableau, Power BI, Python, Excel, Pandas, Projects, more)
Become a data analyst by following along with this massive course. You will learn the core topics that data analysts need to know. And along the way, you will build plenty of projects to gain hands-on experience.
https://www.youtube.com/watch?v=PSNXoAs2FtQ
Become a data analyst by following along with this massive course. You will learn the core topics that data analysts need to know. And along the way, you will build plenty of projects to gain hands-on experience.
https://www.youtube.com/watch?v=PSNXoAs2FtQ
YouTube
Data Analyst Bootcamp for Beginners (SQL, Tableau, Power BI, Python, Excel, Pandas, Projects, more)
Become a data analyst by following along with this massive course. You will learn the core topics that data analysts need to know. And along the way, you will build plenty of projects to gain hands-on experience.
✏️ Bootcamp developed by @AlexTheAnalyst…
✏️ Bootcamp developed by @AlexTheAnalyst…
Integrating Rust and Python with a Shared Library
Learn how to build computational and memory intensive functions in Rust and seamlessly integrate them into Python scripts. This video covers creating a shared Python module with Rust using pyo3, compiling the Rust code into a shared object file, importing that file in Python, and calling the high-performance Rust functions from Python.
https://www.youtube.com/watch?v=K9dUqGyQ9pw
Learn how to build computational and memory intensive functions in Rust and seamlessly integrate them into Python scripts. This video covers creating a shared Python module with Rust using pyo3, compiling the Rust code into a shared object file, importing that file in Python, and calling the high-performance Rust functions from Python.
https://www.youtube.com/watch?v=K9dUqGyQ9pw
YouTube
Integrating Rust and Python with a Shared Library
Learn how to build computational and memory intensive functions in Rust and seamlessly integrate them into Python scripts. This video covers creating a shared Python module with Rust using pyo3, compiling the Rust code into a shared object file, importing…