PythonHub

Bython: Python with braces. Because Python is awesome, but whitespace is awful https://pypi.org/project/Bython/

mit-han-lab / efficientvit EfficientViT is a new family of vision models for efficient high-resolution vision. https://github.com/mit-han-lab/efficientvit

From Beeps to Toots: Reviving Pagers with Python and Mastodon The article showcases a unique application of Python programming by connecting pagers with Mastodon, blending the reliability of pagers with modern social media interactions. It highlights the versatility of Python in bridging analog devices like pagers with digital platforms, demonstrating the enduring relevance of traditional communication methods in today's digital age. https://finnley.dolphinhome.net/2024/02/25/from-beeps-to-toots-reviving-pagers-with-python-and-mastodon/

pfl Python framework for Private Federated Learning simulations. https://github.com/apple/pfl-research

Hatchet A Distributed, Fault-Tolerant Task Queue. https://github.com/hatchet-dev/hatchet

Intro to DSPy: Goodbye Prompting, Hello Programming! How the DSPy framework solves the fragility problem in LLM-based applications by replacing prompting with programming and compiling. https://towardsdatascience.com/intro-to-dspy-goodbye-prompting-hello-programming-4ca1c6ce3eb9

Bonito A lightweight library for generating synthetic instruction tuning datasets for your data without GPT. https://github.com/BatsResearch/bonito

flect A pure Python full-stack web apps framework inspired by Next.js. https://github.com/Chaoyingz/flect

Building an LLM fine-tuning Dataset The video shares insights on building a comprehensive dataset for AI model training using Reddit comments, highlighting challenges such as working with large datasets and filtering out low-quality comments. The creator discusses methods like loading, sorting, and filtering data to create training samples and models, emphasizing the abundance of comments available for analysis and the pro... https://www.youtube.com/watch?v=pCX_3p40Efc

Machine Learning in 2024 – Beginner's Course This machine learning course is created for beginners who are learning in 2024. The course begins with a Machine Learning Roadmap for 2024, emphasizing career paths and beginner-friendly theory. Then it the course moves on to hands-on practical applications and a comprehensive end-to-end project using Python. https://www.youtube.com/watch?v=bmmQA8A-yUA

NVIDIA / trt-llm-rag-windows A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM https://github.com/NVIDIA/trt-llm-rag-windows

How to Write a (Lisp) Interpreter (In Python) (2010) https://www.norvig.com/lispy.html

Python Hub Weekly Digest for 2024-03-10 https://pythonhub.dev/digest/2024-03-10/

Graphinate. Data to Graphs. Graphinate is a python library that aims to simplify the generation of Graph Data Structures from Data Sources. https://github.com/erivlis/graphinate

ok-robot An open, modular framework for zero-shot, language conditioned pick-and-drop tasks in arbitrary homes. https://github.com/ok-robot/ok-robot

SymPy: Symbolic Mathematics in Python https://www.sympy.org/en/index.html

Dependency Injection Explained in 7 Minutes This video explains why dependency injection is a game-changer for your coding projects. Creating loosely coupled code is key to making the code more flexible and more maintainable. This is all possible through the implicit use of dependencies. https://www.youtube.com/watch?v=DpMGEhwuuyA

allenai / OLMo Modeling, training, eval, and inference code for OLMo https://github.com/allenai/OLMo

Marimo – open-source reactive Python notebook – running in WASM https://marimo.app/l/c7h6pz

hotpdf hotpdf is a fast PDF parsing library to extract text and find text within PDF documents built on top of pdfminer.six https://github.com/weareprestatech/hotpdf