Pinned Repositories
brain-inspired-AI
Code and reports from two projects; Boltzmann machine trained on the MNIST data and temporal difference learning model for navigating Morris water-maze task
calibration_library
Pytorch library for model calibration metrics and visualizations as well as recalibration methods. In progress!
cnn_sentence_classification
Convolutional neural networks for sentence sentiment classification and comparison with traditional NLP models
DDPG_PER
Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
ICML-2022-DFUQ-workshop
ICML 2022 Workshop on Distribution-Free Uncertainty Quantification
Jonathan-Pearce.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
probabilistic_BLAST
Local Sequence Alignment Tool for Probabilistic DNA databases
PrOCTOR_analysis
Reproducing and extending results from PrOCTOR paper (Predicting Odds of Clinical Trial Outcomes using Random forest) via gradient boosting methods
transfer_learning_rl
Transfer learning in deep reinforcement learning for continuous control. Implemented DDPG and TD3 algorithms and evaluated ability to adapt to changes in environment dynamics and new environments
Jonathan-Pearce's Repositories
Jonathan-Pearce/calibration_library
Pytorch library for model calibration metrics and visualizations as well as recalibration methods. In progress!
Jonathan-Pearce/DDPG_PER
Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
Jonathan-Pearce/transfer_learning_rl
Transfer learning in deep reinforcement learning for continuous control. Implemented DDPG and TD3 algorithms and evaluated ability to adapt to changes in environment dynamics and new environments
Jonathan-Pearce/PrOCTOR_analysis
Reproducing and extending results from PrOCTOR paper (Predicting Odds of Clinical Trial Outcomes using Random forest) via gradient boosting methods
Jonathan-Pearce/brain-inspired-AI
Code and reports from two projects; Boltzmann machine trained on the MNIST data and temporal difference learning model for navigating Morris water-maze task
Jonathan-Pearce/cnn_sentence_classification
Convolutional neural networks for sentence sentiment classification and comparison with traditional NLP models
Jonathan-Pearce/ICML-2022-DFUQ-workshop
ICML 2022 Workshop on Distribution-Free Uncertainty Quantification
Jonathan-Pearce/Jonathan-Pearce.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Jonathan-Pearce/probabilistic_BLAST
Local Sequence Alignment Tool for Probabilistic DNA databases