PythonHub

Ruff: A Fast Python Linter https://lwn.net/Articles/930487/

chatdocs Chat with your documents offline using AI. https://github.com/marella/chatdocs

flood flood is a load testing tool for benchmarking EVM nodes over RPC https://github.com/paradigmxyz/flood

aviary Evaluate multiple LLMs easily. https://github.com/ray-project/aviary

Sophia Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs. https://github.com/kyegomez/Sophia

Olive Olive is an easy-to-use hardware-aware model optimization tool that composes industry-leading techniques across model compression, optimization, and compilation. https://github.com/microsoft/Olive

bigcode-project / starcoder Home of StarCoder: fine-tuning & inference! https://github.com/bigcode-project/starcoder

The Many Problems with Celery The post discusses the challenges and limitations of using Celery, a distributed task queue framework in Python, highlighting issues related to scalability, error handling, and deployment complexities. https://steve.dignam.xyz/2023/05/20/many-problems-with-celery/

Voyager An Open-Ended Embodied Agent with Large Language Models. https://github.com/MineDojo/Voyager

Blazing Fast ETLs with Simultaneous MultiProcessing and MultiThreading The post delves into the techniques and benefits of using simultaneous multiprocessing and multithreading for ETL (Extract, Transform, Load) processes. It explores how leveraging these parallel processing approaches can significantly improve the performance and efficiency of ETL tasks, resulting in faster data processing and enhanced overall productivity. https://heyashy.medium.com/blazing-fast-etls-with-simultaneous-multiprocessing-and-multithreading-214865b56516

Representing Monetary Values in Python Understanding how to accurately represent monetary values in Python is crucial for building financial applications, analyzing data, or simply improving your coding skills. This tutorial explores the various techniques and best practices for effectively working with money. https://www.youtube.com/watch?v=0kzjD6jvfnk

AutoGPTQ An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm. https://github.com/PanQiWei/AutoGPTQ

(Failed - but working 100%) Interview challenge https://www.reddit.com/r/Python/comments/137gvt9/failed_but_working_100_interview_challenge/

acheong08 / Bard Python SDK/API for reverse engineered Google Bard https://github.com/acheong08/Bard

Chainlit Build Python LLM apps in minutes. https://github.com/Chainlit/chainlit

WingmanAI Real-time transcription of audio, integrated with ChatGPT for interactive use. Save, load, and append transcripts for effective context management in conversations. https://github.com/e-johnstonn/wingmanAI

ChainForge An open-source visual programming environment for battle-testing prompts to LLMs. https://github.com/ianarawjo/ChainForge

IntelligenzaArtificiale / Free-Auto-GPT Free Auto GPT with NO paids API is a repository that offers a simple version of Auto GPT, an autonomous AI agent capable of performing tasks independently. Unlike other versions, our implementation does not rely on any paid OpenAI API, making it accessible to anyone. https://github.com/IntelligenzaArtificiale/Free-Auto-GPT

mlc-ai / mlc-llm Enable everyone to develop, optimize and deploy AI models natively on everyone's devices. https://github.com/mlc-ai/mlc-llm

SuperAGI Infrastructure for building useful Autonomous Agents. https://github.com/TransformerOptimus/SuperAGI