PythonHub

bionemo-framework A framework for building and adapting AI models in drug discovery at scale. https://github.com/NVIDIA/bionemo-framework

Ollama Course – Build AI Apps Locally Learn how to set up and use Ollama to build powerful AI applications locally. This hands-on course covers pulling and customizing models, REST APIs, Python integrations, and real-world projects like a Grocery List Organizer, RAG System, and an AI Recruiter Agency. Perfect for developers and AI enthusiasts ready to bring their ideas to life with local LLMs. https://www.youtube.com/watch?v=GWB9ApTPTv4

Python Hub Weekly Digest for 2024-12-01 https://pythonhub.dev/digest/2024-12-01/

letta-ai / letta Letta (formerly MemGPT) is a framework for creating LLM services with memory. https://github.com/letta-ai/letta

Bagels - Expense tracker that lives in your terminal (TUI) https://www.reddit.com/r/Python/comments/1gy0r1v/bagels_expense_tracker_that_lives_in_your/

FireDucks Compiler Accelerated DataFrame Library for Python with fully-compatible pandas API. https://fireducks-dev.github.io/

boltz Democratizing Biomolecular Interaction Modeling. https://github.com/jwohlwend/boltz

Python Tutorial: Stock Trading Bot This tutorial teaches how to build a stock trading bot using Django and TimescaleDB, covering data extraction from APIs, analysis, and automated recommendations. It integrates Celery for background processing and demonstrates advanced database queries in Django, showcasing the power of time series data handling for various applications beyond stock market analysis. https://www.youtube.com/watch?v=O3O1z5hTdUM

Am I the only one who forgets everyday how to plot on matplotlib? https://www.reddit.com/r/learnpython/comments/1gyrjjf/am_i_the_only_one_who_forgets_everyday_how_to/

open-notebook An Open Source implementation of Notebook LM with more flexibility and features. https://github.com/lfnovo/open-notebook

Final Encoding in RPython Interpreters The article discusses implementing a final encoding approach in RPython for interpreter design, focusing on a Brainfk interpreter as an example. It explores the benefits of using final encoding over initial encoding, including potential performance improvements and a different architectural approach to building interpreters in RPython. https://pypy.org/posts/2024/11/guest-post-final-encoding-in-rpython.html

LAMBDA A local AI-powered email automation system that learns from your email style and creates draft responses for every unread email in your (Gmail) inbox. https://github.com/zycyc/LAMBDA

garak garak checks if an LLM can be made to fail in a way we don't want. garak probes for hallucination, data leakage, prompt injection, misinformation, toxicity generation, jailbreaks, and many other weaknesses. https://github.com/NVIDIA/garak

PacktPublishing / LLM-Engineers-Handbook The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices https://github.com/PacktPublishing/LLM-Engineers-Handbook

Benchmark: DuckDB, Polars, Pandas, Arrow, SQLite, NanoCube on filtering / point queryies https://www.reddit.com/r/Python/comments/1gyoi7n/benchmark_duckdb_polars_pandas_arrow_sqlite/

Ultravox A fast multimodal LLM for real-time voice. https://github.com/fixie-ai/ultravox

Deply Keep your Python architecture clean. https://github.com/Vashkatsi/deply

MagicQuill An Intelligent Interactive Image Editing System. https://github.com/magic-quill/MagicQuill

Is Python Really That Slow? The post explores Python's perceived slowness, highlighting that it stems from its interpreted nature and focus on developer productivity rather than raw performance. By leveraging tools like C extensions, async programming, or just-in-time compilers, developers can often overcome performance concerns effectively. https://blog.miguelgrinberg.com/post/is-python-really-that-slow

EasyAnimate An End-to-End Solution for High-Resolution and Long Video Generation Based on Transformer Diffusion. https://github.com/aigc-apps/EasyAnimate