Machine Learning Q and AI book

PyData Global 2023 - Order up! How do I deliver it?

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

Hackers' Guide to Language Models

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.

Scalable machine 🤖 learning for time series forecasting.

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

Scalable and user friendly neural 🧠 forecasting algorithms.

Lightning ⚡️ fast forecasting with statistical and econometric models.

A curated list of Polars talks, tools, examples & articles. Contributions welcome !

A work in progress to build out solutions in Rust for MLOPs

general functions for your data .pipe()-lines.

A full example for causal inference on real-world retail data, for elasticity estimation

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

implementation of Cyclic Boosting machine learning algorithms

A tool for exploring each layer in a docker image

CheatSheets about python , ml etc.

Leave One Feature Out Importance

🦉 Modern high-performance serialization utilities for Python (JSON, MessagePack, Pickle)

esque - an operational kafka tool.

An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

A curated list of awesome posts, videos, and articles on leading a data team (small and large)

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

End-to-end deep learning on your desktop or server.

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

🌊 Online machine learning in Python

Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy

A simple tutorial about effectively using pdb