Stars
Client did not pay? Add opacity to the body tag and decrease it every day until their site completely fades away
The Next-Gen Algorithmic Trading Framework 🚀 (Early Beta)
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Incremental ML learning in the real-world
Build and deploy a REST API for taxi trip data 🚕
R&D playground to play with agents and OpenBB
Course Materials for Analytics in Stock Markets Zoomcamp
Turns Data and AI algorithms into production-ready web applications in no time.
Python wrapper for TA-Lib (http://ta-lib.org/).
jawah / niquests
Forked from psf/requests“Safest, Fastest, Easiest, and Most advanced” Python HTTP Client. Production Ready! Drop-in replacement for Requests. HTTP/1.1, HTTP/2, and HTTP/3 supported. With WebSocket, and SSE! Be free of Req…
Interact with your documents using the power of GPT, 100% privately, no data leaks
Real-time Feature Pipelines in Python ⚡
Curated list of things that help you make something awesome with Snapmaker machines.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Train and Deploy an ML REST API to predict crypto prices, in 10 steps
nickreynke / python-gedcom
Forked from madprime/python-gedcomPython module for parsing, analyzing, and manipulating GEDCOM files
The Dom amongst the Flipper Zero Firmware. Give your Flipper the power and freedom it is really craving. Let it show you its true form. Dont delay, switch to the one and only true Master today!
Stable Diffusion web UI
Robust Speech Recognition via Large-Scale Weak Supervision
Data Engineering examples for Airflow, Prefect; dbt for BigQuery, Redshift, ClickHouse, Postgres, DuckDB; PySpark for Batch processing; Kafka for Stream processing
Source code for Twitter's Recommendation Algorithm
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
A collection of tips, tricks and links to help you speed up your pytest suite.