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.
R package for context-specific functionality analysis of metabolic gene clusters
Implementation of CogSci 2019 paper 'Active physical learning via reinforcement learning'
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
PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation
An official repository for tutorials of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.
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