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Official PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"
Autoregressive Model Beats Diffusion: 🦙 Llama for Scalable Image Generation
Code and data for the ACL2024 paper "InstructProtein: Aligning Human and Protein Language via Knowledge Instruction".
A Protein Large Language Model for Multi-Task Protein Language Processing
List of papers about Proteins Design using Deep Learning
Cobra: Extending Mamba to Multi-modal Large Language Model for Efficient Inference
A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
OpenDiT: An Easy, Fast and Memory-Efficient System for DiT Training and Inference
Emu Series: Generative Multimodal Models from BAAI
Official repository for the paper "Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval"
RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Marks Lab at Harvard.
GLIDE: a diffusion-based text-conditional image synthesis model
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
A generative model for programmable protein design
Joint sequence and structure generation with RoseTTAFold sequence space diffusion
Implementation of Muse: Text-to-Image Generation via Masked Generative Transformers, in Pytorch
Author's Pytorch implementation of our ICLR 2024 paper "Uni-O4"
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''
Text-based real image editing with stable diffusion models
Implementation UniTune based on stable diffusion
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)