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aunet

Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms

autogpt

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

codepilot

computer-vision-deep-learning-intro-papers

Collection of annotated papers (from ML in CV) for reference.

contextseg

This is the official repository for the publication https://arxiv.org/abs/2311.16682

controlnet

Let us control diffusion models!

diffmorpher

Official Code for DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing (CVPR 2024)

drlim

Implemention of Dimensionality reduction by learning an invariant mapping in CVPR2006

dsu-net-for-mass-segmentation-in-mammograms

Modified U-Net with a fewer number of parameters offering an improved performance for Mass Segmentation

fgsegnet

FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding

flight_scraper

Scraping flight prices from Kayak.com

fruitnerf

[IROS24] Offical Code for "FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework" - Inegrated into Nerfstudio

gan_breast_mammography_segmentation

SegNet-cGAN and UNET-cGAN for Breast Mammography Segmentation

generative-ai-for-beginners

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

hausdorffloss

Implementation of Hausdorff loss function for DNN learning in segmentation tasks.

instructcv

[ ICLR 2024 ] Official Codebase for "InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists"

ldm_correspondences

Unsupervised Semantic Correspondence Using Stable Diffusion

mammography-models

Machine learning models for analyzing mammograms

multimodal_attention_deeplearning

Multi-modal deep learning with attention mechanism

mv-defeat

nanogpt

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

openbreast

Digital mammography processing tools

pectoral_muscle_groundtruth_segmentation

The ground truth segmentation for MIAS, INbreast and CBIS-DDSM subset datasets.

procthor-rl

RL training scripts for learning an agent using ProcTHOR.

pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch.

pytorch-stable-diffusion

Stable Diffusion implemented from scratch in PyTorch

react

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

seabird

[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects