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A python package to read, analyse and visualize OCT and fundus data from various sources.
A fork of DreamBooth with Stable Diffusion V2 Enabled.
A latent text-to-image diffusion model
Notebooks using the Hugging Face libraries 🤗
Stable Diffusion in TensorFlow / Keras
Roadmap to becoming a data engineer in 2021
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A simple, extensible Markov chain generator.
Trajectory simulation of the Pelican Prototype Robot of the CICESE Research Center, Mexico. The position control used was PD control with gravity compensation and the 4th order Runge-Kutta method.
Experimental code and examples for: Automated analysis of whole brain vasculature using machine learning
Simple Intro to Image Feature Extraction using a Restricted Boltzmann Machine
Vox2Vox: 3D GAN for image segmentation using tensorflow-keras
Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))
A tensorflow implementation of "Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks"
this repository accompanies the book "Grokking Deep Learning"
3D U-Net model for volumetric semantic segmentation written in pytorch
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
Videos, notes and experiments to understand deep learning
Keras implementations of Generative Adversarial Networks.
Keras implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
Raw implementation of attention gated U-Net by Keras
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
2D-EM Image Segmentation using Unet, Segnet, SVM and RandomForest
Code to segment 3D MRI images using the random walk method and latent SVM
Machine learning semantic segmentation - Random Forest, SVM, GBC