flamingo-pytorch
DALLE-pytorch
| flamingo-pytorch | DALLE-pytorch | |
|---|---|---|
| 3 | 20 | |
| 1,203 | 5,578 | |
| - | - | |
| 0.0 | 2.5 | |
| about 2 years ago | 10 months ago | |
| Python | Python | |
| MIT License | MIT License |
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flamingo-pytorch
- flamingo tackling visual understanding
- GitHub - lucidrains/flamingo-pytorch: Implementation of Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch
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[R] Flamingo: a Visual Language Model for Few-Shot Learning (from DeepMind)
code, for anyone interested https://github.com/lucidrains/flamingo-pytorch
DALLE-pytorch
- The Eleuther AI Mafia
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Thoughts on AI image generators from text
Here you go: https://github.com/lucidrains/DALLE-pytorch
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[P] DALL·E Mini & Mega demo and production API
Here are some other implementations of Dalle clones in Pytorch by various authors in the ML and DL community: https://github.com/lucidrains/DALLE-pytorch
- New text-to-image network from Google beats DALL-E
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[Project] DALL-3 - generate better images with fewer tokens through clip guided diffusion
If in general DDPM > GAN > VAE, why do transformer image generators all use VQVAE to decode images? Wouldn't it be better to use a diffusion model? I was wondering about this and started experimenting with different ways to decode vector-quantized embeddings with a diffusion model - see discussion here After a lot of trial and error I got something that works pretty well.
- Still waiting for dall-e
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Ask HN: Computer Vision Project Ideas?
- "Discrete VAE", used as the backbone for OpenAI's DALL-E, reimplimented here (and other places) https://github.com/lucidrains/DALLE-pytorch (code for training a discrete VAE)
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Crawling@Home: Help Build The Worlds Largest Image-Text Pair Dataset!
Here's the DALLE-pytorch git repo.
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(from the discord stream) I'm so hyped for this game. This generation is really good.
I am very excited, when AI Dungeon was released and seeing them filtering stuff, I thought that one day there will be an open source version of this without filters, the same goes for any future open sourced GPT-X. Now if we can get to train an open source DALL-E too and integrate it on NovelAI. Wouldn't that be even more awesome?
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Wann habt Ihr euch das letzte Mal wie ein Kind über eine Sache gefreut?
Vielleicht bei https://github.com/lucidrains/DALLE-pytorch und https://github.com/kobiso/DALLE-reproduction
What are some alternatives?
x-transformers - A concise but complete full-attention transformer with a set of promising experimental features from various papers
DALL-E - PyTorch package for the discrete VAE used for DALL·E.
soundstorm-pytorch - Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
nuwa-pytorch - Implementation of NÜWA, state of the art attention network for text to video synthesis, in Pytorch
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
slot-attention - Implementation of Slot Attention from GoogleAI
DALLE-datasets - This is a summary of easily available datasets for generalized DALLE-pytorch training.
spin-model-transformers - Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
CoCa-pytorch - Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
performer-pytorch - An implementation of Performer, a linear attention-based transformer, in Pytorch
imagen-pytorch - Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch