aichifandefan

Daily

日常的学习和一些教程

Mdeical-Segmentation-Tutorials

Monai-tutorials

Monai-tutorials

lstm_generation_music

A simple model to generation with lstm

tuning_playbook_zh_cn

一本系统地教你将深度学习模型的性能最大化的战术手册。

aichifandefan.github.io

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Diff-UNet

Diff-UNet: A Diffusion Embedded Network for Volumetric Segmentation. (using diffusion for 3D medical image segmentation)

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Fastformer-PyTorch

Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."

files_transforme_repository

本人的一些gan学习代码

hyperbolic-image-embeddings

Supplementary code for the paper "Hyperbolic Image Embeddings".

machine-learning

《统计学习方法》的代码实现

mne-python

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

ImgX-DiffSeg

A JAX-based deep learning framework for image segmentation using diffusion models.

JdBuyer

京东抢购自动下单助手，GUI 支持 Windows 和 macOS

med-seg-diff-pytorch

Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space

MedSegDiff

Medical Image Segmentation with Diffusion Model

my_tensorflow_tutorials

my_tensorflow_tutorials _repositories

practice

code practice

robust-single-accelerometer-based-activity-recognition-using-modified-recurrence-plot

symbolic-music-datasets

:musical_keyboard: symbolic musical datasets

tutorials

MONAI Tutorials