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/Content |
Jiahao Gai |
PyTorch |
Adaptive AI for games using DRL algorithms with PyTorch |
Wenxuan Li |
SMAC |
Enhancing LA-MCTS with SMAC for Heterogeneous Search Space |
Qianyi Liu |
LA-MCTS |
Hyperparameter tuning with search space partition: investigating LA-MCTS |
Stefan Milosevic |
PyTorch |
Exploring PyTorch by implementing and refine a deep learning model tailored for medical image segmentation |
Felix Rocke |
TVM, Triton |
Code-Generation Comparison on TVM and Triton |
Pedro Sousa |
World Model |
Leveraging World Models in RL for Circuit Design Optimisation |
Pranav Talluri |
Pyro |
Exploring Pyro with deep generative models to investigate Pyro’s suitability as PPL in comparison to other competitors |
Balázs Tóth |
Naiad |
Exploring Naiad, a timely dataflow system: Implementation of a machine learning model in Naiad's Rust |
Lauren Wilkes |
Pyro |
Exploring Pyro by building 1) Student performance model or 2) Causal model |
Grant Wilkins |
PyTorch |
Do We Really Need All of that Scale? (benchmark and analyze the energy efficiency of training LLM across various distributed systems) |
Kim Worrall |
Naiad, Egg |
1) Parallel distribution of the algorithm over Naiad/Egg graph or 2) Optimising NAIAD graphs using Egg |
Thomas Yuan |
Ray Tune |
Distributed Hyperparameter searching in Ray Tune |
