higgsfield
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
https://github.com/higgsfield-ai/higgsfield
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
https://github.com/higgsfield-ai/higgsfield
GitHub
GitHub - higgsfield-ai/higgsfield: Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed…
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters - higgsfield-ai/higgsfield
How to add Google sheets as your Django database in 4 minutes
https://www.youtube.com/watch?v=XXDiqE4t0xA
https://www.youtube.com/watch?v=XXDiqE4t0xA
YouTube
Add Google Sheets as your Django database in 4 mins 📊
Written guide here: https://www.photondesigner.com/articles/django-with-google-sheets-database?ref=yt-XXDiqE4t0xA-django-with-google-sheets-database
In under 4 minutes, we'll add Google sheets as your Django database 📊. This is ideal for faster prototyping…
In under 4 minutes, we'll add Google sheets as your Django database 📊. This is ideal for faster prototyping…
Speeding up Cython with SIMD
SIMD is a CPU feature that lets you speed up numeric processing; learn how to use it with Cython.
https://pythonspeed.com/articles/faster-cython-simd/
SIMD is a CPU feature that lets you speed up numeric processing; learn how to use it with Cython.
https://pythonspeed.com/articles/faster-cython-simd/
Python⇒Speed
Speeding up Cython with SIMD
SIMD is a CPU feature that lets you speed up numeric processing; learn how to use it with Cython.
dlt
data load tool (dlt) — the open-source Python library for data loading.
https://github.com/dlt-hub/dlt
data load tool (dlt) — the open-source Python library for data loading.
https://github.com/dlt-hub/dlt
GitHub
GitHub - dlt-hub/dlt: data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
data load tool (dlt) is an open source Python library that makes data loading easy 🛠️ - GitHub - dlt-hub/dlt: data load tool (dlt) is an open source Python library that makes data loading easy 🛠️
Python Tutorial: How to Buy a Token on the Uniswap Universal Router
Learn to build a swap transaction for the Uniswap Universal Router!
https://hackernoon.com/how-to-buy-a-token-on-the-uniswap-universal-router-with-python
Learn to build a swap transaction for the Uniswap Universal Router!
https://hackernoon.com/how-to-buy-a-token-on-the-uniswap-universal-router-with-python
Hackernoon
How to Buy a Token on the Uniswap Universal Router with Python
Tutorial on how to buy a token on the Uniswap Universal Router with Python.
GenSim
Generating Robotic Simulation Tasks via Large Language Models.
https://github.com/liruiw/GenSim
Generating Robotic Simulation Tasks via Large Language Models.
https://github.com/liruiw/GenSim
GitHub
GitHub - liruiw/GenSim: Generating Robotic Simulation Tasks via Large Language Models
Generating Robotic Simulation Tasks via Large Language Models - liruiw/GenSim
Infinite scroll with django and htmx
Tutorial on how to implement infinite scroll using django and htmx.
https://fmacedo.com/posts/1-django-htmx-infinite-scroll/
Tutorial on how to implement infinite scroll using django and htmx.
https://fmacedo.com/posts/1-django-htmx-infinite-scroll/
Francisco Macedo
Infinite scroll with django and htmx | Francisco Macedo
Tutorial on how to implement infinite scroll using django and htmx.
We Have To Talk About Flask
Miguel Grinberg writes that Flask maintainers often introduce trivial backwards incompatible changes into new releases of Flask and Werkzeug, causing extensions and tutorials to break until they are updated. There is now
https://blog.miguelgrinberg.com/post/we-have-to-talk-about-flask
Miguel Grinberg writes that Flask maintainers often introduce trivial backwards incompatible changes into new releases of Flask and Werkzeug, causing extensions and tutorials to break until they are updated. There is now
https://blog.miguelgrinberg.com/post/we-have-to-talk-about-flask
Miguelgrinberg
We Have To Talk About Flask
Flask 3.0 was released on September 30th, 2023, along with a parallel 3.0 release of Werkzeug, its main dependency. That day, the Flask-Login extension, one of the most popular of all Flask…
Pytest Tutorial – How to Test Python Code
Learn how to use pytest, the powerful testing framework for Python. Throughout this course you'll gain a deep understanding of pytest's features, best practices, and the nuances of writing effective tests. And at the end, you'll learn how you can use ChatGPT to help you write tests quicker.
https://www.youtube.com/watch?v=cHYq1MRoyI0
Learn how to use pytest, the powerful testing framework for Python. Throughout this course you'll gain a deep understanding of pytest's features, best practices, and the nuances of writing effective tests. And at the end, you'll learn how you can use ChatGPT to help you write tests quicker.
https://www.youtube.com/watch?v=cHYq1MRoyI0
YouTube
Pytest Tutorial – How to Test Python Code
Learn how to use pytest, the powerful testing framework for Python. Throughout this course you'll gain a deep understanding of pytest's features, best practices, and the nuances of writing effective tests. And at the end, you'll learn how you can use ChatGPT…
stas00 / ml-engineering
Machine Learning Engineering Guides and Tools
https://github.com/stas00/ml-engineering
Machine Learning Engineering Guides and Tools
https://github.com/stas00/ml-engineering
GitHub
GitHub - stas00/ml-engineering: Machine Learning Engineering Open Book
Machine Learning Engineering Open Book. Contribute to stas00/ml-engineering development by creating an account on GitHub.
RenderCV
A Python application that creates a CV in PDF from a YAML/JSON input file.
https://github.com/sinaatalay/rendercv
A Python application that creates a CV in PDF from a YAML/JSON input file.
https://github.com/sinaatalay/rendercv
GitHub
GitHub - rendercv/rendercv: Version-control CVs/resumes as source code
Version-control CVs/resumes as source code. Contribute to rendercv/rendercv development by creating an account on GitHub.
How to deploy conda-based docker images
Learn how to get your conda-based docker images down to a reasonable size using three things.
https://blog.neater-hut.com/how-to-deploy-conda-based-docker-images.html
Learn how to get your conda-based docker images down to a reasonable size using three things.
https://blog.neater-hut.com/how-to-deploy-conda-based-docker-images.html
blog.neater-hut
How to deploy conda-based docker images
<p>The scientific python community has settled on conda and conda-forge as the easiest way to compile and install dependencies that have complicated build recipes:</p>
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">As long as the Python community…
<blockquote class="twitter-tweet"><p lang="en" dir="ltr">As long as the Python community…
DeepSparse
Sparsity-aware deep learning inference runtime for CPUs.
https://github.com/neuralmagic/deepsparse
Sparsity-aware deep learning inference runtime for CPUs.
https://github.com/neuralmagic/deepsparse
GitHub
GitHub - neuralmagic/deepsparse: Sparsity-aware deep learning inference runtime for CPUs
Sparsity-aware deep learning inference runtime for CPUs - neuralmagic/deepsparse
Python Benchmarking Best Practices
You can help to ensure benchmark results are reliable, stable, and useful by following benchmarking ...
https://superfastpython.com/python-benchmarking-best-practices/
You can help to ensure benchmark results are reliable, stable, and useful by following benchmarking ...
https://superfastpython.com/python-benchmarking-best-practices/
Super Fast Python
Python Benchmarking Best Practices - Super Fast Python
You can help to ensure benchmark results are reliable, stable, and useful by following benchmarking best practices. This includes isolating the code and the execution environment and using benchmarking functions that are high-precision, non-adjustable, and…