Computer Laboratory

Large-Scale Data Processing and Optimisation (2022-2023 Michaelmas Term)

LSDPO - R244

review_log

Open Source Projects

Reading Club papers

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 Mini Project List

Current list of mini projects as follows. You are free to change any time, just let me know if you change.

Name OpenSource Project Mini Project Title
Sharan Agrawal TensorFlow Agent Based Modelling in TensorFlow
George Barbulescu Emukit etc. Enhancing Active Learning in Emukit: an extended experimental analysis
Antonia-Irina Boca PyTorch, pytorch-geometric, FlexFlow, TenSat Tensor graph superoptimization for graph neural networks
Kian Cross TVM Evaluating and Improving Scheduling Times in TVM
Martin  Graf Bao Improving BAO’s worst-case performance
Jakob Hartmann NAS-MCTS, SMAC3, Ray-Tune, Gymnasium Comparison of Hyperparameter Optimization Approaches for Deep Reinforcement Learning
Zejian Li PyTorch, PyTorch Geometric Exploring PyTorch Geometric: a geometric deep learning library built on top of PyTorch
Shuntian Liu Apache Flink FlinkCoin: Comparative analysis of Apache Flink and other general purpose data processing frameworks
Theodore Long FABOLAS Flexible, Parallelized, Bayesian Optimization for Large Datasets
Ridwan Muheeb Spark Spark: Fast Cluster Computing
Teodora Reu BoTorch and PyTorch Geometric Tuning Graph Neural Networks with Bayesian Optimization
Anna Talas World Model Build a working prototype on a WORLD for Gaming
Sarah Zhao Pyro, GPyTorch and BoTorch An Extended Comparison of Pyro and PyTorch (Exploring some gaps in Pyro experiments)