lucidrains/MEGABYTE-pytorch lucidrains/MEGABYTE-pytorch

  • Stars
    star
    573
  • Rank 74,812 (Top 2 %)
  • Language
    Python
  • License
    MIT License
  • Created 12 months ago
  • Updated 11 months ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
lucidrains/MEGABYTE-pytorch
github

lucidrains

Reviews

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

Repository Details

Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch

MEGABYTE - Pytorch

Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch. Took the liberty to generalize it even further so one can have multiple local models.

Similar independent research that is a further generalization

Appreciation

  • Stability and 🤗 Huggingface for the generous sponsorship to work on and open source cutting edge artificial intelligence research

Install

$ pip install MEGABYTE-pytorch

Usage

import torch
from MEGABYTE_pytorch import MEGABYTE

model = MEGABYTE(
    num_tokens = 16000,             # number of tokens
    dim = (512, 256),               # transformer model dimension (512 for coarsest, 256 for fine in this example)
    max_seq_len = (1024, 4),        # sequence length for global and then local. this can be more than 2
    depth = (6, 4),                 # number of layers for global and then local. this can be more than 2, but length must match the max_seq_len's
    dim_head = 64,                  # dimension per head
    heads = 8,                      # number of attention heads
    flash_attn = True               # use flash attention
)

x = torch.randint(0, 16000, (1, 1024, 4))

loss = model(x, return_loss = True)
loss.backward()

# then after much training

logits = model(x)

# and sample from the logits accordingly
# or you can use the generate function

sampled = model.generate(temperature = 0.9, filter_thres = 0.9) # (1, 1024, 4)

Test

Train on character-level enwik8 with patches of size 4 - length 8192

$ python train.py

Citations

@misc{yu2023megabyte,
    title   = {MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers}, 
    author  = {Lili Yu and Dániel Simig and Colin Flaherty and Armen Aghajanyan and Luke Zettlemoyer and Mike Lewis},
    year    = {2023},
    eprint  = {2305.07185},
    archivePrefix = {arXiv},
    primaryClass = {cs.LG}
}
@misc{https://doi.org/10.48550/arxiv.2302.01327,
    doi     = {10.48550/ARXIV.2302.01327},
    url     = {https://arxiv.org/abs/2302.01327},
    author  = {Kumar, Manoj and Dehghani, Mostafa and Houlsby, Neil},
    title   = {Dual PatchNorm},
    publisher = {arXiv},
    year    = {2023},
    copyright = {Creative Commons Attribution 4.0 International}
}
@inproceedings{dao2022flashattention,
    title   = {Flash{A}ttention: Fast and Memory-Efficient Exact Attention with {IO}-Awareness},
    author  = {Dao, Tri and Fu, Daniel Y. and Ermon, Stefano and Rudra, Atri and R{\'e}, Christopher},
    booktitle = {Advances in Neural Information Processing Systems},
    year    = {2022}
}
@software{peng_bo_2021_5196578,
    author    = {PENG Bo},
    title     = {BlinkDL/RWKV-LM: 0.01},
    month     = {aug},
    year      = {2021},
    publisher = {Zenodo},
    version   = {0.01},
    doi       = {10.5281/zenodo.5196578},
    url       = {https://doi.org/10.5281/zenodo.5196578}
}
@article{Kazemnejad2023TheIO,
    title   = {The Impact of Positional Encoding on Length Generalization in Transformers},
    author  = {Amirhossein Kazemnejad and Inkit Padhi and Karthikeyan Natesan Ramamurthy and Payel Das and Siva Reddy},
    journal = {ArXiv},
    year    = {2023},
    volume  = {abs/2305.19466}
}
@misc{su2021roformer,
    title   = {RoFormer: Enhanced Transformer with Rotary Position Embedding},
    author  = {Jianlin Su and Yu Lu and Shengfeng Pan and Bo Wen and Yunfeng Liu},
    year    = {2021},
    eprint  = {2104.09864},
    archivePrefix = {arXiv},
    primaryClass = {cs.CL}
}

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

🦁 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 🦩 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

nuwa-pytorch

Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch
Python
531
star
41

point-transformer-pytorch

Implementation of the Point Transformer layer, in Pytorch
Python
518
star
42

parti-pytorch

Implementation of Parti, Google's pure attention-based text-to-image neural network, in Pytorch
Python
502
star
43

tab-transformer-pytorch

Implementation of TabTransformer, attention network for tabular data, in Pytorch
Python
485
star
44

voicebox-pytorch

Implementation of Voicebox, new SOTA Text-to-speech network from MetaAI, in Pytorch
Python
470
star
45

linear-attention-transformer

Transformer based on a variant of attention that is linear complexity in respect to sequence length
Python
468
star
46

meshgpt-pytorch

Implementation of MeshGPT, SOTA Mesh generation using Attention, in Pytorch
Python
430
star
47

g-mlp-pytorch

Implementation of gMLP, an all-MLP replacement for Transformers, in Pytorch
Python
391
star
48

siren-pytorch

Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function
Python
377
star
49

recurrent-memory-transformer-pytorch

Implementation of Recurrent Memory Transformer, Neurips 2022 paper, in Pytorch
Python
371
star
50

egnn-pytorch

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
Python
367
star
51

ema-pytorch

A simple way to keep track of an Exponential Moving Average (EMA) version of your pytorch model
Python
356
star
52

enformer-pytorch

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
Python
352
star
53

magvit2-pytorch

Implementation of MagViT2 Tokenizer in Pytorch
Python
346
star
54

memory-efficient-attention-pytorch

Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"
Python
328
star
55

FLASH-pytorch

Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"
Python
323
star
56

robotic-transformer-pytorch

Implementation of RT1 (Robotic Transformer) in Pytorch
Python
320
star
57

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
58

bit-diffusion

Implementation of Bit Diffusion, Hinton's group's attempt at discrete denoising diffusion, in Pytorch
Python
308
star
59

slot-attention

Implementation of Slot Attention from GoogleAI
Python
303
star
60

iTransformer

Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
Python
300
star
61

transformer-in-transformer

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch
Python
277
star
62

axial-attention

Implementation of Axial attention - attending to multi-dimensional data efficiently
Python
273
star
63

conformer

Implementation of the convolutional module from the Conformer paper, for use in Transformers
Python
272
star
64

q-transformer

Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind
Python
266
star
65

mixture-of-experts

A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models
Python
264
star
66

magic3d-pytorch

Implementation of Magic3D, Text to 3D content synthesis, in Pytorch
Python
258
star
67

routing-transformer

Fully featured implementation of Routing Transformer
Python
251
star
68

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
69

Adan-pytorch

Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch
Python
241
star
70

x-unet

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