Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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Updated
Feb 18, 2025 - Python
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
📚 A Collection of Free & Open Resources for University Coursework in Computer Science.
A framework for conducting polymer reference interaction site model (PRISM) calculations
RepTate (Rheology of Entangled Polymers: Toolkit for Analysis of Theory & Experiment)
Machine Learning Function Approximation: This code implements the fully-connected Deep Neural Network (DNN) architectures considered in the paper "The gap between theory and practice in function approximation with deep neural networks" available at https://arxiv.org/abs/2001.07523
Theory and implementation of Monte Carlo integration techniques
Deep learning techniques on classification tasks (MLP, CNN), analysis of sequential data (RNN) and implementation of generative models (VAE, GAN and NF).
Audio and Speech Signal Processing project about musical note identification.
A Python 3 package that provides a musical framework to analyse chords
A Python package for calculating light polarizations with Jones calculus
This paper list focuses on the theoretical and empirical analysis of language models, especially large language models (LLMs). The papers in this list investigate the learning behavior, generalization ability, and other properties of language models through theoretical analysis, empirical analysis, or a combination of both.
Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.
official tensorflow implementation of "On Extended Long Short-term Memory and Dependent Bidirectional Recurrent Neural Network"
From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein’s Theory of Explanation
🎸 music theory helper 🎵
This is an overview of basic math, electronics, physics, and some other science stuff that a Software/Computer Engineer may require.
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