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shap

A game theoretic approach to explain the output of any machine learning model.

shapley

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

simple_rl

A simple framework for experimenting with Reinforcement Learning in Python.

spatio-temporal-language-transformers

Code for the paper Grounding Spatio-Temporal Language with Transformers

spike-driven-transformer-v2

Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)

spikegpt

Implementation of "SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks"

sqldatabasechain-langchain-demo

sslfordss

Using a self-supervised learning method – contrastive predictive coding - to increase sample-efficiency in dss - a sound processing package of animal songs

ssm

Bayesian learning and inference for state space models

stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

state_abstraction

Code for abstracting, evaluating, and visualizing Markov Decision Processes.

stochastic_collapse

thinker

Thinker project

thought-cloning

[NeurIPS '23 Spotlight] Thought Cloning: Learning to Think while Acting by Imitating Human Thinking

topoembedx

Representation Learning on Topological Domains

topomodelx

Topological Deep Learning

toponetx

Computing on Topological Domains

voyager

An Open-Ended Embodied Agent with Large Language Models

vpsa_aistats2020

Code to accompany our 2020 AISTATS paper "Value Preserving State-Action Abstractions"

warp-drive

Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU