Built an AI that utilized reinforcement learning to both generate and play the classic minesweeper game
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Updated
Aug 14, 2020 - Jupyter Notebook
Built an AI that utilized reinforcement learning to both generate and play the classic minesweeper game
archived content from probabilistic learning course
A Simple Probabilistic Program Inference Tool Supporting Loops
A Benchmarking Suite for Probabilistic Inference Frameworks 📊🔍 Developed at IFIS, University of Lübeck
Code for the paper "ILStrudel : Independence Based Learning of Structured-Decomposable Probabilistic Circuit Ensembles" accepted at the TPM Workshop, UAI'21
Mode remaining active learning for multimodal dynamical systems in TensorFlow/GPflow.
An Arithmetic Circuit Miner
Small Variance Asymptotics in Non Parametric Bayesian Clustering
An official repository for a PGM demo of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.
Stash of some of the most potent research papers, blogs and videos on AI which I liked.
Simultaneous State Estimation and Dynamics Learning from Indirect Observations.
Implementation of CogSci 2019 paper 'Active physical learning via reinforcement learning'
R package for context-specific functionality analysis of metabolic gene clusters
Disentangling Sources of Uncertainty for Active Exploration (Reinforcement Learning)
An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.
Combined Learning from Demonstration and Motion Planning
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
An official repository for tutorials of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.
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