🦜🔗 Build context-aware reasoning applications

A latent text-to-image diffusion model

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Python Data Science Handbook: full text in Jupyter Notebooks

Google Research

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

This repository contains implementations and illustrative code to accompany DeepMind publications

PRML algorithms implemented in Python

Multi-Joint dynamics with Contact. A general purpose physics simulator.

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

A Bulletproof Way to Generate Structured JSON from Language Models

Language-Agnostic SEntence Representations

SoTA LLM for converting natural language questions to SQL queries

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

The textbook Computational and Inferential Thinking: The Foundations of Data Science

Named Tensor implementation for Torch

Embed strange attractors using a regularizer for autoencoders

A jupyter book for the OHBM educational workshop on analyzing naturalistic data.

Data and code for the paper "Geometric models reveal behavioural and neural signatures of transforming naturalistic experiences into episodic memories" by Andrew C. Heusser, Paxton C. Fitzpatrick, …

Software for using predictive coding algorithms to train PyTorch models.

Algorithms for Uni-Modal Inverse Reinforcement Learning

Pyro code for reproducing examples from John Winns MBML book.

Experiments for numerical approximations to VMP