streamline-vi-csp

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

gophersat, a SAT solver in Go

Source Code for the Book Classic Computer Science Problems in Swift

Loopy belief propagation for factor graphs on discrete variables in JAX

Implementation of the overlapping model of the Wave Function Collapse algorithm

AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai') from Flytxt, Indian Institute of Technology Delhi and CSIR-CEERI as a part of NIPS 2018 AutoML for Lifelong Machine Learning Challenge.

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

The Belief Propagation approximation for probability distributions on sparse graphs