Kolmogorov Arnold Networks

List of papers studying machine learning through the lens of category theory

This is an official repo for fine-tuning SAM to customized medical images.

aider is AI pair programming in your terminal

PyTorch implementation of Infini-Transformer from "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" (https://arxiv.org/abs/2404.07143)

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…

LLM training in simple, raw C/CUDA

Retrieve author and publication information from Google Scholar in a friendly, Pythonic way without having to worry about CAPTCHAs!

18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

Softmax for Arbitrary Label Trees (SALT) is a framework for training segmentation networks using conditional probabilities to model hierarchical relationships in the data.

Datasets, Transforms and Models specific to Computer Vision

Analyzing and Improving the Training Dynamics of Diffusion Models (EDM2)

Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

A Zotero plugin for syncing items and notes into Notion

This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

The official PyTorch implementation of Google's Gemma models

A curated list of Artificial Intelligence Top Tools

[CVPR'24] Group Anything with Radiance Fields

SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

Segment Anything in Medical Images

Release LMV-Med pre-trained models

MedLSAM: Localize and Segment Anything Model for 3D Medical Images

The official repository for "One Model to Rule them All: Towards Universal Segmentation for Medical Images with Text Prompts"

Zongwei Zhou's Ph.D. Dissertation

The simplest, fastest repository for training/finetuning medium-sized GPTs.