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 |
Oluwatimilehin (Timi) Adeniran |
Egglog |
Equality Saturation for MLIR with Egglog |
Jakub(Kuba) Bachurski |
Egg |
Scalable & Flexible Equality Saturation |
Zejun (Xavier) Chen |
ALEX |
ALEX: An Updatable Adaptive Learned Index |
Luca Choteborsky |
Naiad |
System Adaptive Naiad |
Edmund Goodman |
Egg |
Exploring reproducibility and data parallelism in the egg project |
Andrew Krapivin |
Storm+World Model |
Investigating Compute vs Sample Efficiency in World Models |
Mark Li |
BURN |
Deep Reinforcement Learning with Burn |
Gabriel Mahler |
RLlib |
Evaluation of Distributed Training with RLLib |
Sid Nagappan |
Optuna, Ax, RayTune |
Multi-Objective Bayesian Optimisation: Optuna, Ax and RayTune |
Aryan Shah |
Ottertune |
Extraction of impacting parameters for Ottertune tuning |
Hetong Shen |
Pyro, TensorFlow Probability |
A Comparative Study of Probabilistic Programming Frameworks: Pyro vs TensorFlow Probability |
Andrzej Szablewski |
PyTorch Dynamo |
Exploring the Just-In-Time compilation in PyTorch Dynamo |
Asbjørn Thede Lorenzen |
Mava |
Analysis of Mava Architecture |
Chris Tomy |
Emukit |
Hybrid BayesOpt and RL Optimization in Emukit |
Andy Zhou |
Tensorflow (Pyro) |
Replicate device Placement over LLM |