Python adventures: Finding unused dependencies

The author discusses a Python script he created that helps identify and remove unused dependencies in Python projects, improving code efficiency and reducing unnecessary bloat. The post provides a step-by-step guide on how to use the script and highlights its benefits for developers.

https://www.nathanfurnal.xyz/posts/py-find-unused-deps/

SuperAGI

Infrastructure for building useful Autonomous Agents.

https://github.com/TransformerOptimus/SuperAGI

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

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

ChainForge

An open-source visual programming environment for battle-testing prompts to LLMs.

https://github.com/ianarawjo/ChainForge

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

Chainlit

Build Python LLM apps in minutes.

https://github.com/Chainlit/chainlit

acheong08 / Bard

Python SDK/API for reverse engineered Google Bard

https://github.com/acheong08/Bard

AutoGPTQ

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

https://github.com/PanQiWei/AutoGPTQ

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

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

Voyager

An Open-Ended Embodied Agent with Large Language Models.

https://github.com/MineDojo/Voyager

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/

bigcode-project / starcoder

Home of StarCoder: fine-tuning & inference!

https://github.com/bigcode-project/starcoder

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

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

aviary

Evaluate multiple LLMs easily.

https://github.com/ray-project/aviary

flood

flood is a load testing tool for benchmarking EVM nodes over RPC

https://github.com/paradigmxyz/flood

chatdocs

Chat with your documents offline using AI.

https://github.com/marella/chatdocs