PaLM-flax
DALLE-pytorch
PaLM-flax | DALLE-pytorch | |
---|---|---|
1 | 20 | |
14 | 5,598 | |
- | - | |
4.2 | 2.5 | |
over 2 years ago | 11 months ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PaLM-flax
-
[R] Proprietary ML model in research paper
Google, Deepmind, and OpenAI normally provide a section in their research papers for replicating the pre-training and fine-tuning architectures of the models. For example, a replication of the pre-training architecture outlined in the LaMDA research paper in PyTorch (https://github.com/conceptofmind/LaMDA-pytorch/blob/main/lamda\_pytorch/lamda\_pytorch.py) or another implementation of Google's SOTA Pathways Language Model in JAX/FLAX (https://github.com/conceptofmind/PaLM-flax).
DALLE-pytorch
- The Eleuther AI Mafia
-
Thoughts on AI image generators from text
Here you go: https://github.com/lucidrains/DALLE-pytorch
-
[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
-
[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
-
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)
-
Crawling@Home: Help Build The Worlds Largest Image-Text Pair Dataset!
Here's the DALLE-pytorch git repo.
-
(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?
-
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?
PaLM-pytorch - Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways
DALL-E - PyTorch package for the discrete VAE used for DALL·E.
x-transformers - A concise but complete full-attention transformer with a set of promising experimental features from various papers
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
RWKV-LM - RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
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
soundstorm-pytorch - Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch
CoCa-pytorch - Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
whisper-timestamped - Multilingual Automatic Speech Recognition with word-level timestamps and confidence
DALLE-datasets - This is a summary of easily available datasets for generalized DALLE-pytorch training.
imagen-pytorch - Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
DALLE-reproduction - Reproducing OpenAI's DALLE model