MrPio / KAN-Continual_Learning_testsLinks
Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)
☆41Updated 8 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 4 months ago
- This code implements a Radial Basis Function (RBF) based Kolmogorov-Arnold Network (KAN) for function approximation.☆29Updated last year
- ☆33Updated last year
- Variations of Kolmogorov-Arnold Networks☆115Updated last year
- Classfication metrics and post-hoc calibration☆37Updated 4 months ago
- my attempts at implementing various bits of Sepp Hochreiter's new xLSTM architecture☆131Updated last year
- Examining how large language models (LLMs) perform across various synthetic regression tasks when given (input, output) examples in their…☆155Updated 2 weeks ago
- ☆96Updated last year
- A simple example of VAEs with KANs☆12Updated last year
- Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.☆256Updated last year
- Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)☆106Updated 3 weeks ago
- A repository containing general tutorials I'd like to share with the world.☆46Updated 3 months ago
- Context is Key: A Benchmark for Forecasting with Essential Textual Information☆79Updated 2 months ago
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆20Updated last year
- ICLR 2025 - official implementation for "I-Con: A Unifying Framework for Representation Learning"☆116Updated 4 months ago
- A modified CNN architecture using Kolmogorov-Arnold Networks☆84Updated last year
- Extending Conformal Prediction to LLMs☆68Updated last year
- Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.☆391Updated last year
- Evaluation of neuro-symbolic engines☆39Updated last year
- Causal Agent based on Large Language Model☆54Updated last month
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆49Updated 3 years ago
- Benchmark for efficiency in memory and time of different KAN implementations.☆134Updated last year
- Conference schedule, top papers, and analysis of the data for NeurIPS 2023!☆120Updated last year
- Interpret text data with LLMs (sklearn compatible).☆171Updated 3 weeks ago
- A Python Library for Learning Non-Euclidean Representations☆67Updated 2 months ago
- ☆50Updated 9 months ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆45Updated 2 months ago
- Gradient Boosting Reinforcement Learning (GBRL)☆121Updated 2 months ago
- Unofficial implementation of Conformal Language Modeling by Quach et al☆29Updated 2 years ago
- Code and pretrained models for the paper: "MatMamba: A Matryoshka State Space Model"☆61Updated 11 months ago