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Attention-guided dense-upsampling networks for breast mass segmentation in whole mammograms
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.
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Collection of annotated papers (from ML in CV) for reference.
This is the official repository for the publication https://arxiv.org/abs/2311.16682
Let us control diffusion models!
Official Code for DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing (CVPR 2024)
Implemention of Dimensionality reduction by learning an invariant mapping in CVPR2006
Modified U-Net with a fewer number of parameters offering an improved performance for Mass Segmentation
FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding
Scraping flight prices from Kayak.com
[IROS24] Offical Code for "FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework" - Inegrated into Nerfstudio
SegNet-cGAN and UNET-cGAN for Breast Mammography Segmentation
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Implementation of Hausdorff loss function for DNN learning in segmentation tasks.
[ ICLR 2024 ] Official Codebase for "InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists"
Unsupervised Semantic Correspondence Using Stable Diffusion
Machine learning models for analyzing mammograms
Multi-modal deep learning with attention mechanism
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Digital mammography processing tools
The ground truth segmentation for MIAS, INbreast and CBIS-DDSM subset datasets.
RL training scripts for learning an agent using ProcTHOR.
:art: Semantic segmentation models, datasets and losses implemented in PyTorch.
Stable Diffusion implemented from scratch in PyTorch
[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models
[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.