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…
autotab
Build browser agents for real world tasks.
https://github.com/Planetary-Computers/autotab-starter
Build browser agents for real world tasks.
https://github.com/Planetary-Computers/autotab-starter
GitHub
GitHub - Planetary-Computers/autotab-starter: Build browser agents for real world tasks
Build browser agents for real world tasks. Contribute to Planetary-Computers/autotab-starter development by creating an account on GitHub.
LocalPilot
Use GitHub Copilot locally on your Macbook with one-click!
https://github.com/danielgross/localpilot
Use GitHub Copilot locally on your Macbook with one-click!
https://github.com/danielgross/localpilot
GitHub
GitHub - danielgross/localpilot
Contribute to danielgross/localpilot development by creating an account on GitHub.
Waymax
A JAX-based simulator for autonomous driving research.
https://github.com/waymo-research/waymax
A JAX-based simulator for autonomous driving research.
https://github.com/waymo-research/waymax
GitHub
GitHub - waymo-research/waymax: A JAX-based simulator for autonomous driving research.
A JAX-based simulator for autonomous driving research. - waymo-research/waymax
Embeddings: What they are and why they matter
In this article, Simon Willison explores the concept of embeddings in data analysis and machine learning, highlighting their role in representing complex data for efficient processing and providing practical insights on their use.
https://simonwillison.net/2023/Oct/23/embeddings/
In this article, Simon Willison explores the concept of embeddings in data analysis and machine learning, highlighting their role in representing complex data for efficient processing and providing practical insights on their use.
https://simonwillison.net/2023/Oct/23/embeddings/
Simon Willison’s Weblog
Embeddings: What they are and why they matter
Embeddings are a really neat trick that often come wrapped in a pile of intimidating jargon. If you can make it through that jargon, they unlock powerful and exciting techniques …
Mastering API Testing with FastAPI: Databases, Dependencies, and More!
This tutorial will guide you through API testing using FastAPI, complete with a full code example. Use this as a template for testing your own APIs!
https://www.youtube.com/watch?v=9gC3Ot0LoUQ
This tutorial will guide you through API testing using FastAPI, complete with a full code example. Use this as a template for testing your own APIs!
https://www.youtube.com/watch?v=9gC3Ot0LoUQ
YouTube
Mastering API Testing with FastAPI: Databases, Dependencies, and More!
👷 Review code better and faster with my 3-Factor Framework: https://arjan.codes/diagnosis.
In this tutorial, I'll guide you through API testing using FastAPI, complete with a full code example. Use this as a template for testing your own APIs!
Git Repo:…
In this tutorial, I'll guide you through API testing using FastAPI, complete with a full code example. Use this as a template for testing your own APIs!
Git Repo:…
lea
lea is a minimalist alternative to tools like dbt, SQLMesh, and Google's Dataform.
https://github.com/carbonfact/lea
lea is a minimalist alternative to tools like dbt, SQLMesh, and Google's Dataform.
https://github.com/carbonfact/lea
GitHub
GitHub - carbonfact/lea: 🏃♀️ Minimalist SQL orchestrator
🏃♀️ Minimalist SQL orchestrator. Contribute to carbonfact/lea development by creating an account on GitHub.
dataelement / bisheng
Bisheng is an open LLM devops platform for next generation AI applications.
https://github.com/dataelement/bisheng
Bisheng is an open LLM devops platform for next generation AI applications.
https://github.com/dataelement/bisheng
GitHub
GitHub - dataelement/bisheng: BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and…
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation,...
Esmerald
Esmerald is a modern, powerful, flexible, high performant, web framework designed to build not only APIs but also full scalable applications from the smallest to enterprise level.
https://github.com/dymmond/esmerald
Esmerald is a modern, powerful, flexible, high performant, web framework designed to build not only APIs but also full scalable applications from the smallest to enterprise level.
https://github.com/dymmond/esmerald
GitHub
GitHub - dymmond/esmerald: Esmerald framework - Highly scalable, performant, easy to learn, easy to code and for every sizeable…
Esmerald framework - Highly scalable, performant, easy to learn, easy to code and for every sizeable and complex application - dymmond/esmerald
huggingface / pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
https://github.com/huggingface/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
https://github.com/huggingface/pytorch-image-models
GitHub
GitHub - huggingface/pytorch-image-models: The largest collection of PyTorch image encoders / backbones. Including train, eval…
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V...
Analyzing Data 170,000x Faster with Python
In this post, we will go through a journey of profiling and iteratively speeding up the code, in Python.
https://sidsite.com/posts/python-corrset-optimization/
In this post, we will go through a journey of profiling and iteratively speeding up the code, in Python.
https://sidsite.com/posts/python-corrset-optimization/
sidsite
Analyzing Data 170,000x Faster with Python
The article, Analyzing Data 180,000x Faster with Rust, first presents some unoptimized Python code, and then shows the process of rewriting and optimizing the code in Rust, resulting in a 180,000x speed-up. The author notes: