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.
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.
🎸 music theory helper 🎵
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
A Python 3 package that provides a musical framework to analyse chords
Code for ARPM ("Adversarial Reweighting with α-Power Maximization for Domain Adaptation"), IJCV, 2024.
Audio and Speech Signal Processing project about musical note identification.
This is an overview of basic math, electronics, physics, and some other science stuff that a Software/Computer Engineer may require.
[AAAI 2024] Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
Regular Expression Tester
official tensorflow implementation of "On Extended Long Short-term Memory and Dependent Bidirectional Recurrent Neural Network"
Python package to analyze the fourier power spectra and bispectra with wide-separation, relativistic and primordial non-gaussian effects in large-scale structure Cosmology.
Theory and implementation of Monte Carlo integration techniques
A Python package for calculating light polarizations with Jones calculus
Super Force Dimensional Analysis S.C.Pais, D.Acs, et al
Partial information decomposition (PID) analysis of neuronal plasticity model.
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