Official Repo for the paper "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for…

Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation

A Comprehensive Survey of Continual Learning in Medical Scenarios

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

An Incremental Learning, Continual Learning, and Life-Long Learning Repository

MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

A Collection of Variational Autoencoders (VAE) in PyTorch.

📓Solutions to Introduction to Algorithms

Matplotlib中文教程，在线阅读地址：https://datawhalechina.github.io/fantastic-matplotlib/

Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Intro to Reinforcement Learning (强化学习纲要）

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法…

Unsupervised single image depth prediction with CNNs

OpenMMLab Detection Toolbox and Benchmark

M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

Keras Implementation of Faster R-CNN

Faster R-CNN for Open Images Dataset by Keras

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

A CV toolkit for my papers.

使用3D卷积神经网络进行肺结节检测