Statistical analysis methods for comparing prompt and model performance in LLM evaluations.

LMCache: Supercharge Your LLM with the Fastest KV Cache Layer

Smallest transformer that can add two 10-digit numbers

AI-assited research towards smallest trainable transformer for AdderBoard

The agent that grows with you

Machine Learning Engineering Open Book

Machine Learning Systems

Learning Deep Representations of Data Distributions

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

A technical report on convolution arithmetic in the context of deep learning

The course text for MIT 6.832 (and 6.832x on edX)

Retrying library for Python

🌐 Make websites accessible for AI agents. Automate tasks online with ease.

Python 3 API wrapper for Garmin Connect to get statistics and set activities

Download and parse data from Garmin Connect or a Garmin watch, FitBit CSV, and MS Health CSV files into and analyze data in Sqlite serverless databases with Jupyter notebooks.

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Repository for pre-built dev container images published under mcr.microsoft.com/devcontainers

NOTE: Most of the contents of this repository have been migrated to the new devcontainers GitHub org (https://github.com/devcontainers). See https://github.com/devcontainers/template-starter and ht…

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.

🔑 Raspberry Pi Encrypted Boot with Remote SSH

Raspberry Pi SD Card Image Manager

Open Source Deep Reinforcement Learning, based on Agent 57 (Badia et al, 2020)

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

miniscope analysis pipeline with interactive visualizations

Concurrent data pipelines in Python >>>

System identification toolkit for multistep prediction using deep learning and hybrid methods.

Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)