Stars
A curated list of neural network pruning resources.
List of papers related to neural network quantization in recent AI conferences and journals.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A resource for learning about Machine learning & Deep Learning
medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis
Pytorch implementation of VQGAN (Taming Transformers for High-Resolution Image Synthesis) (https://arxiv.org/pdf/2012.09841.pdf)
High-Resolution Image Synthesis with Latent Diffusion Models
Adaptive Latent Diffusion Model for 3D Medical Image
OpenMMLab Detection Toolbox and Benchmark
Google Cloud Platform Certification resources.
Code for Multiple Instance Active Learning for Object Detection, CVPR 2021
[MICCAI'24] Official implementation of "BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor Detection".
[ICLR2022] official implementation of UniFormer
[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
Weakly Supervised Object Localization Papers
A collection of design patterns/idioms in Python
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
All Algorithms implemented in Python
Using deep learning to discover interpretable representations for mammogram classification and explanation
Pretrained model for self supervised histopathology
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
A collection of resources on applications of Transformers in Medical Imaging.
Deep Learning Papers on Medical Image Analysis
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.