PythonHub

spdustin / ChatGPT-AutoExpert 🚀🧠💬 Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding). https://github.com/spdustin/ChatGPT-AutoExpert

lm-format-enforcer Enforce the output format (JSON Schema, Regex etc) of a language model. https://github.com/noamgat/lm-format-enforcer

Python Hub Weekly Digest for 2023-11-12 https://pythonhub.dev/digest/2023-11-12/

Do not use requirements.txt This post discusses the limitations of using requirements.txt for package management in Python projects. The author suggests using Poetry instead, which is a package manager that simplifies dependency management and provides additional features such as virtual environments and lock files. https://quanttype.net/posts/2023-10-31-do-not-use-requirements.txt.html

Raven CI/CD Security Analyzer. https://github.com/CycodeLabs/raven

Show HN: Jeeves – A Pythonic Alternative to GNU Make https://jeeves.sh

LearnHouse https://github.com/learnhouse/learnhouse

eosphoros-ai / DB-GPT Revolutionizing Database Interactions with Private LLM Technology https://github.com/eosphoros-ai/DB-GPT

SuperDuperDB Bring AI to your favourite database! Integrate, train and manage any AI models and APIs directly with your database and your data. https://github.com/SuperDuperDB/superduperdb

XAgent An Autonomous LLM Agent for Complex Task Solving. https://github.com/OpenBMB/XAgent

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

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

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

Wonder3D A cross-domain diffusion model for 3D reconstruction from a single image. https://github.com/xxlong0/Wonder3D

hiyouga / LLaMA-Factory Easy-to-use LLM fine-tuning framework (LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, ChatGLM3) https://github.com/hiyouga/LLaMA-Factory

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

Marcel https://github.com/geophile/marcel

Why was the "lambda" keyword added for anonymous functions? https://www.reddit.com/r/Python/comments/17mrpof/why_was_the_lambda_keyword_added_for_anonymous/

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/

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