hkproj / kan-notesLinks
☆19Updated last year
Alternatives and similar repositories for kan-notes
Users that are interested in kan-notes are comparing it to the libraries listed below
Sorting:
- Visualizing some of the internals of a neural network during training and inference.☆77Updated last year
- Variations of Kolmogorov-Arnold Networks☆115Updated last year
- Swarming algorithms like PSO, Ant Colony, Sakana, and more in PyTorch 😊☆131Updated this week
- Training small GPT-2 style models using Kolmogorov-Arnold networks.☆120Updated last year
- An easy to use PyTorch implementation of the Kolmogorov Arnold Network and a few novel variations☆188Updated 10 months ago
- ☆89Updated 7 months ago
- Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples☆196Updated 4 months ago
- This repository contains a better implementation of Kolmogorov-Arnold networks☆63Updated 4 months ago
- Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.☆392Updated last year
- This is the repository for brain state prediction using fMRI data and transformer.☆81Updated last year
- my attempts at implementing various bits of Sepp Hochreiter's new xLSTM architecture☆131Updated last year
- Material for the Systems and Cognitive NeuroScience online course☆124Updated 6 months ago
- Gradient Boosting Reinforcement Learning (GBRL)☆120Updated last month
- Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"☆562Updated last year
- noise_step: Training in 1.58b With No Gradient Memory☆221Updated 9 months ago
- Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc☆35Updated last year
- Collection of tests performed during the study of the new Kolmogorov-Arnold Neural Networks (KAN)☆39Updated 7 months ago
- Interactively inspect module inputs, outputs, parameters, and gradients.☆352Updated 4 months ago
- An open source implementation of LFMs from Liquid AI: Liquid Foundation Models☆113Updated last year
- ☆45Updated 4 months ago
- a LLM cookbook, for building your own from scratch, all the way from gathering data to training a model☆162Updated last year
- Various installation guides for Large Language Models☆73Updated 5 months ago
- Deep Learning for Computer Vision☆59Updated last year
- LLMs represent numbers on a helix and manipulate that helix to do addition.☆26Updated 8 months ago
- Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.☆173Updated 2 years ago
- A Simplified PyTorch Implementation of Vision Transformer (ViT)☆211Updated last year
- Documented and Unit Tested educational Deep Learning framework with Autograd from scratch.☆121Updated last year
- Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.☆256Updated last year
- Code for the manim-generated scenes used in welch labs videos☆150Updated last week
- PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research …☆189Updated last month