enformer-pytorch
v-diffusion-jax
enformer-pytorch | v-diffusion-jax | |
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1 | 3 | |
392 | 205 | |
- | - | |
5.7 | 0.0 | |
about 2 months ago | about 2 years ago | |
Python | Python | |
MIT License | MIT License |
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enformer-pytorch
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[D] Is anyone working on open-sourcing Dall-E 2?
thanks for the kind words, and also, great idea :) recently had the pleasure of collaborating with one of their engineers to get a genetics transformer open sourced and hosted on their hub https://github.com/lucidrains/enformer-pytorch hopefully we get to collaborate again in the future
v-diffusion-jax
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[D] Is anyone working on open-sourcing Dall-E 2?
I don't recall seeing any formal announcements by stabillity[dot]ai or its founder on this Twitter account, but this organization is apparently involved in this space. As an example, stability[dot]ai has been credited for providing compute here.
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Finetuning the 512x512 guided diffusion network for generating characters?
Were you aware Rivers & namespace already did an anime diffusion model, and are training a new one?
- v-diffusion-jax: DDPM models in Jax, pretrained: WikiArt 128/256px, ImageNet 128, Danbooru2020 128
What are some alternatives?
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
EQTransformer - EQTransformer, a python package for earthquake signal detection and phase picking using AI.
dalle-mini - DALLĀ·E Mini - Generate images from a text prompt
routing-transformer - Fully featured implementation of Routing Transformer
conformer - Implementation of the convolutional module from the Conformer paper, for use in Transformers
genome_integration - MR-link and genome integration. genome_integration is a repository for the analysis of genomic data. Specifically, the repository implements the causal inference method MR-link, as well as other Mendelian randomization methods.
LOGICGUIDE - Plug in and Play implementation of "Certified Reasoning with Language Models" that elevates model reasoning by 40%