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Pure Python from-scratch zero-dependency implementation of Bitcoin for educational purposes
Deploy Generative AI models from Amazon SageMaker JumpStart using AWS CDK
Code and Data for "Extracting Structured Information from Unstructured Histopathology Reports with GPT-4"
A grid sampler for larger-than-memory N-dimensional images
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Password protect a static HTML page, decrypted in-browser in JS with no dependency. No server logic needed.
Learning image representations for anomaly detection: application to discovery of histological alterations in drug development
Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models
Python library that wrap the Orthanc REST API and facilitate the manipulation of data in Orthanc
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
Code for Paper Predicting Osteoarthritis Progression via Unsupervised Adversarial Representation Learning
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
A curated list of diffusion models in medical image analysis.
A latent text-to-image diffusion model
Self-contained, minimalistic implementation of diffusion models with Pytorch.
Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
Release for Improved Denoising Diffusion Probabilistic Models
OCR, Archive, Index and Search: Implementation agnostic OCR framework.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
A collection of resources and papers on Diffusion Models
Implementation of Denoising Diffusion Probabilistic Models in PyTorch