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.

Benchmarking and Testing FastKAN

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

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

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

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeX…

Development repository for the Triton language and compiler

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

📻Terminal/ssh/telnet/serialport/sftp client(linux, mac, win)

The official GitHub page for the review paper "Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models".

Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models

Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training