How AI Can Help Deaf People Hear
This project facilitates communication between Deaf individuals and hearing individuals who do not understand American Sign Language (ASL). It is designed to respect and preserve ASL as the primary language.
https://www.youtube.com/watch?v=uuPxMWQRoXc
Fire Up Your Logging Needs with Pydantic Logfire
The pydantic team recently introduced logfire, a new logging tool that makes it easy to track and analyze your logs. Simply integrate logfire into your projects with just a few lines of code.
https://kadermiyanyedi.medium.com/fire-up-your-logging-needs-with-logfire-6330d7a08dfe
google-deepmind / alphafold
Open source code for AlphaFold.
https://github.com/google-deepmind/alphafold
Web Development with Htmx, Type-Guided Components, Pure Python
https://getludic.dev/docs/
Python notebooks for fundamentals of music processing
https://www.audiolabs-erlangen.de/resources/MIR/FMP/C0/C0.html
Koheesio
Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.
https://github.com/Nike-Inc/koheesio
How good is GPT-4o at generating Flask apps? Surprisingly promising
This article summarizes the findings when asking GPT-4o to generate Flask applications, ranging from a simple "Hello, World!" app to a full-fledged CRUD app with three database models and HTML pages with Tailwind. With careful prompting, GPT-4o can produce working Flask applications and follow (some) best coding practices.
https://ploomber.io/blog/gpt-4o-flask/
How Python Compares Floats and Ints: When Equals Isn’t Really Equal
Another Python gotcha and an investigation into its internals to understand why this happens.
https://blog.codingconfessions.com/p/how-python-compares-floats-and-ints
What is your favorite Python-related YouTube channel?
https://www.reddit.com/r/learnpython/comments/1cyeyp8/what_is_your_favorite_pythonrelated_youtube/
cover-agent
An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement!
https://github.com/Codium-ai/cover-agent
Simple Pretty Maps That Will Better Your Python Streamlit Skills
A simple tutorial on creating beautiful maps using the prettymapp library.
https://johnloewen.substack.com/p/simple-pretty-maps-that-will-better
A Beginner's Guide to Unit Testing with Pytest
In this guide, we will explore the core principles of unit testing, delve into Pytest's powerful capabilities, and equip you with the knowledge and skills to write clean, maintainable, and effective tests.
https://betterstack.com/community/guides/testing/pytest-guide/
Llama 3 implemented in pure NumPy
Understand the exact structure with working implementation of the Llama 3 model.
https://docs.likejazz.com/llama3.np/
Replacing pyinstaller with 100 lines of code
A tale of how I accidentally stumbled upon some interesting tech over time.
https://tushar.lol/post/packaged/
DataFrames at Scale Comparison: TPC-H
We run benchmarks derived from the TPC-H benchmark suite on a variety of scales, hardware architectures, and dataframe projects, notably Apache Spark, Dask, DuckDB, and Polars. No project wins. This post analyzes results within each project and between projects.
https://docs.coiled.io/blog/tpch.html
mistral-finetune
mistral-finetune is a light-weight codebase that enables memory-efficient and performant finetuning of Mistral's models.
https://github.com/mistralai/mistral-finetune
Blealtan / efficient-kan
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
https://github.com/Blealtan/efficient-kan
Pandora
Towards General World Model with Natural Language Actions and Video States.
https://github.com/maitrix-org/Pandora
Terminal Text Effects
Visual effects applied to text in the terminal.
https://github.com/ChrisBuilds/terminaltexteffects
MicroPython 1.23 Brings Custom USB Devices, OpenAMP, Much More
https://hackaday.com/2024/06/02/micropython-1-23-brings-custom-usb-devices-openamp-much-more/
Gloe
Gloe is a general-purpose library made to help developers create, maintain, document, and test both operational and flow-oriented code.
https://github.com/ideos/gloe
Signals, shells, and docker: an onion of footguns
The post discusses potential security risks and "footguns" that can arise when using Docker containers, signals, and shells together in a development environment. It highlights how certain combinations of these tools can inadvertently grant excessive permissions or expose sensitive data, emphasizing the need for caution and proper configuration.
https://benchling.engineering/signals-shells-and-docker-an-onion-of-footguns-ee592e2b587b
Curating Custom Datasets for LLM Training with NVIDIA NeMo Curator
NeMo Curator, which is part of NVIDIA NeMo, offers workflows to download and curate data from various public sources out of the box such as Common Crawl, Wikipedia, and arXiv. It also provides flexibility for developers to customize data curation pipelines to address their unique requirements and create custom datasets. This post walks you through creating a custom data curation pipeline...
https://developer.nvidia.com/blog/curating-custom-datasets-for-llm-training-with-nvidia-nemo-curator/
AgentOps
Open source Python SDK for agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks like CrewAI, Langchain, and Autogen.
https://github.com/AgentOps-AI/agentops
Kafka Consumers in Python - A Walkthrough
Getting data out of Apache Kafka is easy if you know how, so let's go through an example step-by-step. In this walkthrough we take you through the process of creating a simple Kafka Consumer using the Quix Streams library.
https://www.youtube.com/watch?v=eCsSAzTy5cE
College Precalculus – Full Course with Python Code
Learn college Precalculus from an experienced university mathematics professor. You will also learn how to implement all the Precalculus concepts using the Python programming language.
https://www.youtube.com/watch?v=Y8oZtFYweTY
llama3-from-scratch
llama3 implementation one matrix multiplication at a time.
https://github.com/naklecha/llama3-from-scratch
LLM Models and RAG Hands-on Guide
This guide is designed for technical teams interested in developing basic conversational AI solutions using Retrieval-Augmented Generation (RAG).
https://github.com/zahaby/intro-llm-rag