repo for practicing DL/genAI
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Updated
May 24, 2024 - Python
repo for practicing DL/genAI
Libmoon is a flexible and extensible multi-objective optimization platform. Our goal is to make MOO great again. We released libmoon not because developing MOO is easy, but because it is hard.
Companion code repository to Marcou et al. 2024, Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy
🚧 Coming Soon! [CVPR 2024] Joint-Task Regularization for Partially Labeled Multi-Task Learning
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
Build a model that classifies product fashion but also predicts product color at the same time.
Frontiers in 2D Perovskene: Tailoring ABC3 Perovskite Structures for Next-Generation Material Applications
A multitask neural network that does both regression and classification
[SIGIR'24] The official implementation code of MOELoRA.
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
AsymmetriC AutoeNcodEr (ACANE → AkAne). This model is part of MSc Electrochemistry and Battery Technologies project (2022 - 2023), University of Southampton.
Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)
Source code for the paper titled "Multi-Objective Optimization for Sparse Deep Multi-Task Learning"
Generalizing to New Physical Systems via Context-Informed Dynamics Model
Fast Best-Subset Selection Library
Supplementary material for the paper "Lightweight Multitask Learning for Robust JND Prediction using Latent Space and Reconstructed Frames", IEEE TCSVT, 2024.
Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras
A PyTorch Library for Multi-Task Learning
Tensorflow implementation of three architectures for multi-task learning, a paradigm to learn different prediction tasks jointly using one model
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