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My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition
cs231n assignments sovled by https://ghli.org
This package, developed as part of our research detailed in the Chroma Technical Report, provides tools for text chunking and evaluation. It allows users to compare different chunking methods and i…
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
"Didn't graduate" course lab of testing KAN with MNIST type dataset
Targeted Data Generation with Large Language Models
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
A modular graph-based Retrieval-Augmented Generation (RAG) system
AI assistant that utilizes GPT language models to interpret and generate cybersecurity payloads 🪄
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…
[ArXiv' 24] U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
A command-line productivity tool powered by AI large language models like GPT-4, will help you accomplish your tasks faster and more efficiently.
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…
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling
here you can find the material used for our Tutorials
Pytorch Lightning code guideline for conferences
Pytorch framework for doing deep learning on point clouds.
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
[MICCAI'24] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".
Welcome to the Cougar AI Spring 2024 Project! In this project we will build a computer vision application capable of predicting the age of the user through a webcam. We will teach everything needed…
Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning
This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).
nbardy / SparseConvNet
Forked from facebookresearch/SparseConvNetSubmanifold sparse convolutional networks
Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scal…