Bevy v2.0 - The Simple Python Dependency Injection Framework

Modern software can be complex, with many components that depend on each other. It can be hard to manage those dependencies without your project becoming a mess of spaghetti code. This article introduces you to Bevy v2.0, a robust Dependency Injection framework that will help you simplify your Python applications.

https://blog.zech.codes/bevy-v2

ReLLM

Exact structure out of any language model completion.

https://github.com/r2d4/rellm

farshadz1997 / Microsoft-Rewards-bot

A simple bot that uses Selenium to farm Microsoft Rewards written in Python

https://github.com/farshadz1997/Microsoft-Rewards-bot

Real Multithreading is Coming to Python — Learn How You Can Use It Now

True multi-core concurrency is coming to Python in 3.12 release and here’s how you can use it right now using sub-interpreter API

https://betterprogramming.pub/real-multithreading-is-coming-to-python-learn-how-you-can-use-it-now-90dd7fb81bdf

privateGPT

Interact privately with your documents using the power of GPT, 100% privately, no data leaks.

https://github.com/imartinez/privateGPT

“Externally managed environments”: when PEP 668 breaks pip

You’re on a new version of Linux, you try a pip install, and it errors out, talking about “externally managed environments” and “PEP 668”. What’s going on? How do you solve this?

https://pythonspeed.com/articles/externally-managed-environment-pep-668/

Python Port of 600 Line Bash Script: rsync-time-machine.py for Rsync Backups

https://github.com/basnijholt/rsync-time-machine.py

linyiLYi / street-fighter-ai

This is an AI agent for Street Fighter II Champion Edition.

https://github.com/linyiLYi/street-fighter-ai

Intro to PDB, the Python Debugger

Looks like crap, but tastes great

https://bitecode.substack.com/p/intro-to-pdb-the-python-debugger

quivr

Dump all your files and thoughts into your GenerativeAI brain and chat with it.

https://github.com/StanGirard/quivr

OpenLMLab / MOSS

An open-source tool-augmented conversational language model from Fudan University

https://github.com/OpenLMLab/MOSS

Integrals 300X Faster in Python (DON'T use SciPy)

The video discusses the use of TorchQuad, which is a library of different integration techniques built using PyTorch functionality that utilizes GPU accelerated operations for faster computations. The video shows a basic example and goes on to demonstrate a physics problem and derivation of a four-dimensional integral that can be solved using TorchQuad library.

https://www.youtube.com/watch?v=GOiTF11umMo

Learning Physically Simulated Tennis Skills from Broadcast Videos

The research project "Vid2Player3D" by NVIDIA aims to develop a deep learning model that can convert 2D videos into 3D animations by leveraging temporal coherence and depth cues, enabling the generation of realistic 3D virtual characters from ordinary videos.

https://research.nvidia.com/labs/toronto-ai/vid2player3d

The Little Book of Deep Learning

A short introduction to deep learning. It aims at providing the necessary context to understand key recent AI models for image generation and language processing.

https://fleuret.org/public/lbdl.pdf

Vision-CAIR / MiniGPT-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

https://github.com/Vision-CAIR/MiniGPT-4

muellerberndt / mini-agi

MiniAGI is a minimal general-purpose autonomous agent based on GPT-3.5 / GPT-4. Can analyze stock prices, perform network security tests, create art, and order pizza.

https://github.com/muellerberndt/mini-agi