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🤯 ML
Official PyTorch implementation of StyleGAN3
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
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
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
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
MAGMA - a GPT-style multimodal model that can understand any combination of images and language. NOTE: The freely available model from this repo is only a demo. For the latest multimodal and multil…
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Flax is a neural network library for JAX that is designed for flexibility.
A latent text-to-image diffusion model
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
python library for invisible image watermark (blind image watermark)
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Koç University deep learning framework.
🔊 Text-Prompted Generative Audio Model
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
Image to prompt with BLIP and CLIP
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Machine learning metrics for distributed, scalable PyTorch applications.
LLM training code for Databricks foundation models
🦜🔗 The platform for reliable agents.
Stable Diffusion web UI
[Unmaintained, see README] An ecosystem of Rust libraries for working with large language models