Paul Daniel's repositories
MuJoCo_RL_UR5
A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.
Point-Cloud-Shape-Approximation
Using k-order Markov Path Optimization to fit shapes to sparse point cloud data.
common_utils
Collection of frequently used, repository unspecific Python helpers
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Happywhale_competition
My participation in the Happywhale Kaggle competition.
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modelskill
Compare results from MIKE and other simulations with measurements
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prithvi-finetuning
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
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shap
A game theoretic approach to explain the output of any machine learning model.
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tsod
Anomaly Detection for time series data
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