xanderjc Goto Github PK

aml_bayes_opt

Supporting code for the Advanced Machine Learning module, MPhil Machine Learning and Machine Intelligence

attention-based-credit

Code for the paper: Dense Reward for Free in Reinforcement Learning from Human Preferences

data_collection

deepspeed_llama

Finetuning LLaMA with DeepSpeed

inverse-online

Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies (ICLR 2022) by Alex J. Chan, Alicia Curth, and Mihaela van der Schaar.

llm-articulation

mcmc-project

Code for my project comparing theoretical bounds with practical convergence diagnostics in MCMC.

medkit-learn

The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk, Daniel Jarrett, and Mihaela van der Schaar.

mphil-thesis

Supplementary code for my MPhil thesis.

my-cookiecutter

My cookiecutter template for ML projects

rnn-handwriting-generation

Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves

rowingmanager

scalable-birl

Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.

synthetic-model-combination

Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning (NeurIPS 2022) by Alex J. Chan and Mihaela van der Schaar.

transductive-dropout

Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift (ICML 2020) by Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, and Mihaela van der Schaar.

trl

Train transformer language models with reinforcement learning.

truthfulqa

TruthfulQA: Measuring How Models Imitate Human Falsehoods

xanderjc

Config files for my GitHub profile.

xanderjc.github.io

Personal website