🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry

A Robust and Versatile Monocular Visual-Inertial State Estimator

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

[CVPR 2024 Highlight] Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer

Taming Transformers for High-Resolution Image Synthesis

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

X-KANeRF [KANeRF-benchmarking]: KAN based NeRF with various basis functions like B-Splines, Fourier, Gaussians, Wavelets, Polynomials, etc

Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"

KAN for Vision Transformer

The codes to replicate the simulation of the paper :"Wav-KAN: Wavelet Kolmogorov-Arnold Networks"

This repository contains demos I made with the Transformers library by HuggingFace.

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

Benchmarking and Testing FastKAN

An optimization-based multi-sensor state estimator

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learna…

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…

Kolmogorov-Arnold Networks (KAN) using orthogonal polynomials instead of B-splines.

Kolmogorov Arnold Networks

Kolmogorov-Arnold Networks (KAN) using Chebyshev polynomials instead of B-splines.

An open-source platform for Visual AI.

Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc

Kolmogorov–Arnold Networks with modified activation (using fully connected network to represent the activation)

Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Masked Diffusion Transformer is the SOTA for image synthesis. (ICCV 2023)

This is a collection of our NAS and Vision Transformer work.