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A framework for large scale recommendation algorithms.
A PyTorch Library for Multi-Task Learning
MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, Y. Gal, R. Cipolla
The implementation for the work "GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting".
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Python package built to ease deep learning on graph, on top of existing DL frameworks.