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3d-machine-learning

A resource repository for 3D machine learning

3d_danet

ai-research-tools

:hammer:AI 方向好用的科研工具

annotated_deep_learning_paper_implementations

🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback, vit), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, distillation, etc.

api-net

Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020

awesome-chatgpt-prompts-zh

ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

awesome-image-classification

A curated list of deep learning image classification papers and codes

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-object-detection

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

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-pytorch-list-cnversion

Awesome-pytorch-list 翻译工作进行中......

basic_unet_example

An example project of how to use a U-Net for segmentation on medical images with PyTorch.

breast-cancer-risk-prediction

Classification of Breast Cancer diagnosis Using Support Vector Machines

breast-cancer-scikitlearn

simple tutorial on Machine Learning with Scikitlearn

btclassification

Brain tumor classification on structural MR images of BraTS dataset based on 3D Multi-Scale Convolutional Neural Network, which is a part of my master thesis project.

c-resource

黑马程序员匠心之作|C++教程从0到1入门编程

capsnetslaseg

Capsule Networks and Convolutional Neural Networks for the Automated Segmentation of Left Atrium in Cardiac MRI

caranet

Context Axial Reverse Attention Network for Small Medical Objects Segmentation

ccl

Connected Component Labelling tutorial

cnn-3d-images-tensorflow

3D image classification using CNN (Convolutional Neural Network)

cockpit

Cockpit: A Practical Debugging Tool for Training Deep Neural Networks

colossalai

Making large AI models cheaper, faster and more accessible

cs231n-mammogram

Classify mammograms as benign/malignant, using the CBIS-DDSM dataset. Class project for CS231n at Stanford

cv-backbones

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

cv-news

Summarize the paper and code in Semantation(Semantic Segmentation,2D Medical Segmentation,3D Medical Segmentation,Instance Segmentation,Panoptic Segmentation,CVPR,ECCV,ICCV,MICCAI)

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

daf

Code for the MICCAI 2018 paper "Deep Attentional Features for Prostate Segmentation in Ultrasound"

daf3d

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

deeplung

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"