lucidrains/x-unet lucidrains/x-unet

  • Stars
    star
    241
  • Rank 161,264 (Top 4 %)
  • Language
    Python
  • License
    MIT License
  • Created about 2 years ago
  • Updated 10 months ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
lucidrains/x-unet
github

lucidrains

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Implementation of a U-net complete with efficient attention as well as the latest research findings

x-unet

Implementation of a U-net complete with efficient attention as well as the latest research findings

Install

$ pip install x-unet

Usage

import torch
from x_unet import XUnet

unet = XUnet(
    dim = 64,
    channels = 3,
    dim_mults = (1, 2, 4, 8),
    nested_unet_depths = (7, 4, 2, 1),     # nested unet depths, from unet-squared paper
    consolidate_upsample_fmaps = True,     # whether to consolidate outputs from all upsample blocks, used in unet-squared paper
)

img = torch.randn(1, 3, 256, 256)
out = unet(img) # (1, 3, 256, 256)

For 3d (video or CT / MRI scans)

import torch
from x_unet import XUnet

unet = XUnet(
    dim = 64,
    frame_kernel_size = 3,                 # set this to greater than 1
    channels = 3,
    dim_mults = (1, 2, 4, 8),
    nested_unet_depths = (5, 4, 2, 1),     # nested unet depths, from unet-squared paper
    consolidate_upsample_fmaps = True,     # whether to consolidate outputs from all upsample blocks, used in unet-squared paper
    weight_standardize = True
)

video = torch.randn(1, 3, 10, 128, 128)    # (batch, channels, frames, height, width)
out = unet(video) # (1, 3, 10, 128, 128)

Todo

  • memory efficiency for 3d - reversible blocks, checkpointing, memory efficient unet
  • offer option for axial convolutions (placing frame convolutions at end of the resnet chain)

Citations

@article{Ronneberger2015UNetCN,
    title   = {U-Net: Convolutional Networks for Biomedical Image Segmentation},
    author  = {Olaf Ronneberger and Philipp Fischer and Thomas Brox},
    journal = {ArXiv},
    year    = {2015},
    volume  = {abs/1505.04597}
}
@article{Qin2020U2NetGD,
    title   = {U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection},
    author  = {Xuebin Qin and Zichen Vincent Zhang and Chenyang Huang and Masood Dehghan and Osmar R Zaiane and Martin J{\"a}gersand},
    journal = {ArXiv},
    year    = {2020},
    volume  = {abs/2005.09007}
}
@inproceedings{Henry2020QueryKeyNF,
    title   = {Query-Key Normalization for Transformers},
    author  = {Alex Henry and Prudhvi Raj Dachapally and Shubham Vivek Pawar and Yuxuan Chen},
    booktitle = {FINDINGS},
    year    = {2020}
}
@article{Qiao2019WeightS,
    title   = {Weight Standardization},
    author  = {Siyuan Qiao and Huiyu Wang and Chenxi Liu and Wei Shen and Alan Loddon Yuille},
    journal = {ArXiv},
    year    = {2019},
    volume  = {abs/1903.10520}
}
@article{Shleifer2021NormFormerIT,
    title   = {NormFormer: Improved Transformer Pretraining with Extra Normalization},
    author  = {Sam Shleifer and Jason Weston and Myle Ott},
    journal = {ArXiv},
    year    = {2021},
    volume  = {abs/2110.09456}
}
@article{Sunkara2022NoMS,
    title   = {No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects},
    author  = {Raja Sunkara and Tie Luo},
    journal = {ArXiv},
    year    = {2022},
    volume  = {abs/2208.03641}
}
@inproceedings{Woo2023ConvNeXtVC,
    title   = {ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders},
    author  = {Sanghyun Woo and Shoubhik Debnath and Ronghang Hu and Xinlei Chen and Zhuang Liu and In-So Kweon and Saining Xie},
    year    = {2023}
}

More Repositories

1

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Python
13,633
star
2

DALLE2-pytorch

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Python
10,770
star
3

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
Python
7,675
star
4

PaLM-rlhf-pytorch

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Python
7,559
star
5

DALLE-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Python
5,132
star
6

deep-daze

Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
Python
4,387
star
7

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Python
3,959
star
8

stylegan2-pytorch

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Python
3,433
star
9

musiclm-pytorch

Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch
Python
2,934
star
10

x-transformers

A simple but complete full-attention transformer with a set of promising experimental features from various papers
Python
2,707
star
11

big-sleep

A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
Python
2,446
star
12

audiolm-pytorch

Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
Python
2,179
star
13

reformer-pytorch

Reformer, the efficient Transformer, in Pytorch
Python
1,870
star
14

lion-pytorch

šŸ¦ Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
Python
1,859
star
15

toolformer-pytorch

Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI
Python
1,846
star
16

make-a-video-pytorch

Implementation of Make-A-Video, new SOTA text to video generator from Meta AI, in Pytorch
Python
1,807
star
17

gigagan-pytorch

Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
Python
1,542
star
18

lightweight-gan

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
Python
1,526
star
19

lambda-networks

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
Python
1,516
star
20

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
Python
1,497
star
21

alphafold2

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
Python
1,476
star
22

self-rewarding-lm-pytorch

Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
Python
1,154
star
23

naturalspeech2-pytorch

Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch
Python
1,141
star
24

flamingo-pytorch

Implementation of šŸ¦© Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch
Python
1,108
star
25

soundstorm-pytorch

Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch
Python
1,091
star
26

video-diffusion-pytorch

Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch
Python
1,072
star
27

CoCa-pytorch

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
Python
945
star
28

performer-pytorch

An implementation of Performer, a linear attention-based transformer, in Pytorch
Python
937
star
29

perceiver-pytorch

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
Python
935
star
30

mlp-mixer-pytorch

An All-MLP solution for Vision, from Google AI
Python
833
star
31

RETRO-pytorch

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
Python
813
star
32

vector-quantize-pytorch

Vector Quantization, in Pytorch
Python
810
star
33

PaLM-pytorch

Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways
Python
804
star
34

muse-maskgit-pytorch

Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch
Python
781
star
35

phenaki-pytorch

Implementation of Phenaki Video, which uses Mask GIT to produce text guided videos of up to 2 minutes in length, in Pytorch
Python
694
star
36

x-clip

A concise but complete implementation of CLIP with various experimental improvements from recent papers
Python
635
star
37

bottleneck-transformer-pytorch

Implementation of Bottleneck Transformer in Pytorch
Python
632
star
38

TimeSformer-pytorch

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification
Python
613
star
39

memorizing-transformers-pytorch

Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch
Python
596
star
40

MEGABYTE-pytorch

Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch
Python
573
star
41

nuwa-pytorch

Implementation of NƜWA, state of the art attention network for text to video synthesis, in Pytorch
Python
531
star
42

point-transformer-pytorch

Implementation of the Point Transformer layer, in Pytorch
Python
518
star
43

parti-pytorch

Implementation of Parti, Google's pure attention-based text-to-image neural network, in Pytorch
Python
502
star
44

tab-transformer-pytorch

Implementation of TabTransformer, attention network for tabular data, in Pytorch
Python
485
star
45

voicebox-pytorch

Implementation of Voicebox, new SOTA Text-to-speech network from MetaAI, in Pytorch
Python
470
star
46

linear-attention-transformer

Transformer based on a variant of attention that is linear complexity in respect to sequence length
Python
468
star
47

meshgpt-pytorch

Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch
Python
430
star
48

g-mlp-pytorch

Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch
Python
391
star
49

siren-pytorch

Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
Python
377
star
50

recurrent-memory-transformer-pytorch

Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch
Python
371
star
51

egnn-pytorch

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
Python
367
star
52

ema-pytorch

A simple way to keep track of an Exponential Moving Average (EMA) version of your pytorch model
Python
356
star
53

enformer-pytorch

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
Python
352
star
54

magvit2-pytorch

Implementation of MagViT2 Tokenizer in Pytorch
Python
346
star
55

memory-efficient-attention-pytorch

Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(nĀ²) Memory"
Python
328
star
56

FLASH-pytorch

Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"
Python
323
star
57

robotic-transformer-pytorch

Implementation of RT1 (Robotic Transformer) in Pytorch
Python
320
star
58

medical-chatgpt

Implementation of ChatGPT, but tailored towards primary care medicine, with the reward being able to collect patient histories in a thorough and efficient manner and come up with a reasonable differential diagnosis
Python
309
star
59

bit-diffusion

Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch
Python
308
star
60

slot-attention

Implementation of Slot Attention from GoogleAI
Python
303
star
61

iTransformer

Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
Python
300
star
62

transformer-in-transformer

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch
Python
277
star
63

axial-attention

Implementation of Axial attention - attending to multi-dimensional data efficiently
Python
273
star
64

conformer

Implementation of the convolutional module from the Conformer paper, for use in Transformers
Python
272
star
65

q-transformer

Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind
Python
266
star
66

mixture-of-experts

A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models
Python
264
star
67

magic3d-pytorch

Implementation of Magic3D, Text to 3D content synthesis, in Pytorch
Python
258
star
68

routing-transformer

Fully featured implementation of Routing Transformer
Python
251
star
69

classifier-free-guidance-pytorch

Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models
Python
248
star
70

Adan-pytorch

Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch
Python
241
star
71

deformable-attention

Implementation of Deformable Attention in Pytorch from the paper "Vision Transformer with Deformable Attention"
Python
237
star
72

segformer-pytorch

Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch
Python
227
star
73

perfusion-pytorch

Implementation of Key-Locked Rank One Editing, from Nvidia AI
Python
224
star
74

sinkhorn-transformer

Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention
Python
222
star
75

equiformer-pytorch

Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding
Python
220
star
76

pixel-level-contrastive-learning

Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch
Python
220
star
77

spear-tts-pytorch

Implementation of Spear-TTS - multi-speaker text-to-speech attention network, in Pytorch
Python
220
star
78

ring-attention-pytorch

Explorations into Ring Attention, from Liu et al. at Berkeley AI
Python
218
star
79

local-attention

An implementation of local windowed attention for language modeling
Python
216
star
80

natural-speech-pytorch

Implementation of the neural network proposed in Natural Speech, a text-to-speech generator that is indistinguishable from human recordings for the first time, from Microsoft Research
Python
215
star
81

BS-RoFormer

Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs
Python
213
star
82

CoLT5-attention

Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch
Python
212
star
83

se3-transformer-pytorch

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration with eventual Alphafold2 replication.
Python
211
star
84

block-recurrent-transformer-pytorch

Implementation of Block Recurrent Transformer - Pytorch
Python
198
star
85

Mega-pytorch

Implementation of Mega, the Single-head Attention with Multi-headed EMA architecture that currently holds SOTA on Long Range Arena
Python
198
star
86

triton-transformer

Implementation of a Transformer, but completely in Triton
Python
195
star
87

jax2torch

Use Jax functions in Pytorch
Python
194
star
88

halonet-pytorch

Implementation of the šŸ˜‡ Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones
Python
193
star
89

st-moe-pytorch

Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch
Python
190
star
90

flash-cosine-sim-attention

Implementation of fused cosine similarity attention in the same style as Flash Attention
Cuda
190
star
91

attention

This repository will house a visualization that will attempt to convey instant enlightenment of how Attention works to someone not working in artificial intelligence, with 3Blue1Brown as inspiration
HTML
189
star
92

simple-hierarchical-transformer

Experiments around a simple idea for inducing multiple hierarchical predictive model within a GPT
Python
189
star
93

med-seg-diff-pytorch

Implementation of MedSegDiff in Pytorch - SOTA medical segmentation using DDPM and filtering of features in fourier space
Python
187
star
94

electra-pytorch

A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch
Python
186
star
95

recurrent-interface-network-pytorch

Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in Pytorch
Python
185
star
96

unet-stylegan2

A Pytorch implementation of Stylegan2 with UNet Discriminator
Python
182
star
97

res-mlp-pytorch

Implementation of ResMLP, an all MLP solution to image classification, in Pytorch
Python
181
star
98

PaLM-jax

Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)
Python
180
star
99

glom-pytorch

An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up processing, and attention (consensus between columns), for emergent part-whole heirarchies from data
Python
178
star
100

soft-moe-pytorch

Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch
Python
174
star