machine-learning

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Papers on Computational Advertising

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

A JavaScript deep learning and reinforcement learning library.

Data Science Roadmap from A to Z

Serve, optimize and scale PyTorch models in production

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Must-read papers on prompt-based tuning for pre-trained language models.

Solve puzzles. Improve your pytorch.

NeuralProphet: A simple forecasting package

modular quant framework.

Scalable and user friendly neural :brain: forecasting algorithms.

Repository which contains links and resources on different topics of Computer Science.

Collection of useful data science topics along with articles, videos, and code

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

AdalFlow: The library to build & auto-optimize LLM applications.

Machine Learning Pipelines for Kubeflow

♾️ CML - Continuous Machine Learning | CI/CD for ML