Design of an ablation study for a Machine Learning pipeline. The effect of preprocessing, model or postprocessing modules can be automatically tested.
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Updated
Apr 12, 2023 - Python
Design of an ablation study for a Machine Learning pipeline. The effect of preprocessing, model or postprocessing modules can be automatically tested.
Course project for AFLT class, Spring 2022: Exploring SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines
Re-implementation of the paper titled "Noise against noise: stochastic label noise helps combat inherent label noise" from ICLR 2021.
Distribution transparent Machine Learning experiments on Apache Spark
Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.
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