MrPio / KAN-Continual_Learning_testsLinks
Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)
☆41Updated 10 months ago
Alternatives and similar repositories for KAN-Continual_Learning_tests
Users that are interested in KAN-Continual_Learning_tests are comparing it to the libraries listed below
Sorting:
- This repository contains a better implementation of Kolmogorov-Arnold networks☆63Updated 7 months ago
- ☆33Updated last year
- This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.☆29Updated last year
- Classification metrics and post-hoc calibration☆46Updated 2 weeks ago
- Variations of Kolmogorov-Arnold Networks☆116Updated last year
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆21Updated last year
- Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples☆204Updated 7 months ago
- my attempts at implementing various bits of Sepp Hochreiter's new xLSTM architecture☆134Updated last year
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆26Updated 7 months ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆44Updated 4 months ago
- Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictiv…☆24Updated last year
- Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.☆261Updated last year
- Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their…☆159Updated 2 months ago
- ICLR 2025 - official implementation for "I-Con: A Unifying Framework for Representation Learning"☆121Updated 6 months ago
- A simple example of VAEs with KANs☆11Updated last year
- Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)☆107Updated 2 months ago
- A Python Library for Learning Non-Euclidean Representations☆68Updated 4 months ago
- Conference schedule, top papers, and analysis of the data for NeurIPS 2023!☆120Updated 2 years ago
- Towards Understanding the Mixture-of-Experts Layer in Deep Learning☆34Updated 2 years ago
- Swarming algorithms like PSO, Ant Colony, Sakana, and more in PyTorch 😊☆135Updated 2 months ago
- Gradient Boosting Reinforcement Learning (GBRL)☆131Updated last month
- Extending Conformal Prediction to LLMs☆68Updated last year
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆50Updated 3 years ago
- Automatic identification of regions in the latent space of a model that correspond to unique concepts, namely to concepts with a semantic…☆14Updated 2 years ago
- ☆97Updated last year
- Open-source Python toolkit focused on deep learning with ordinal methodologies☆65Updated last week
- Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.☆399Updated last year
- Repository containing awesome resources regarding Hugging Face tooling.☆48Updated last year
- Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc☆35Updated last year
- A modified CNN architecture using Kolmogorov-Arnold Networks☆84Updated last year