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/

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

lea

lea is a minimalist alternative to tools like dbt, SQLMesh, and Google's Dataform.

https://github.com/carbonfact/lea

mify

A code generation tool to help you build cloud backend services.

https://github.com/mify-io/mify

dataelement / bisheng

Bisheng is an open LLM devops platform for next generation AI applications.

https://github.com/dataelement/bisheng

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

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

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/

From Chaos to Cohesion: Architecting Your Own Monorepo

Build a simple monorepo using GitHub Actions as a CI/CD tool.

https://monadical.com/posts/from-chaos-to-cohesion.html

Why is the Django Admin “Ugly”?

This article discusses why the Django admin is not designed to be beautiful. It discusses the history of the Django admin and the reasons why it was designed the way it is. Some of the important points are that the Django admin is intended for internal use and not intended for building an entire front end around.

https://www.coderedcorp.com/blog/why-is-the-django-admin-ugly/

Algorithmic Trading – Machine Learning & Quant Strategies Course with Python

This course covers three advanced trading strategies. First, it focuses on Unsupervised Learning with S&P 500 data, followed by a Twitter Sentiment Investing Strategy for NASDAQ stocks, and an Intraday Strategy using the GARCH model and technical indicators to identify daily and intraday trading signals, enriching your financial skill set.

https://www.youtube.com/watch?v=9Y3yaoi9rUQ

hiyouga / LLaMA-Factory

Easy-to-use LLM fine-tuning framework (LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, ChatGLM3)

https://github.com/hiyouga/LLaMA-Factory

Wonder3D

A cross-domain diffusion model for 3D reconstruction from a single image.

https://github.com/xxlong0/Wonder3D

Build ChatGPT-like Apps with AI

If you're interested in the practical applications of AI and Large Language Models (LLMs), you'll find value in this talk and live demo. The presentation goes beyond theory to include real-world examples and best practices, including a GitHub repository packed with Python code and ChatGPT-like app examples that will help you spin up your own app.

https://sixfeetup.com/company/news/build-chatgpt-like-apps-with-ai

De4py

De4py are an Advanced python deobfuscator with a beautiful UI and a set of Advanced features that enables malware analysts and reverse engineers to deobfuscate python files and more.

https://github.com/Fadi002/de4py

Generate images in one second on your Mac using a latent consistency model

Latent consistency models (LCMs) are based on Stable Diffusion, but they can generate images much faster, needing only 4 to 8 steps for a good image (compared to 25 to 50 steps). By running an LCM on your M1 or M2 Mac you can generate 512x512 images at a rate of one per second.

https://replicate.com/blog/run-latent-consistency-model-on-mac