Official Code for DragGAN (SIGGRAPH 2023)
- artificial-intelligence
- generative-adversarial-network
- generative-models
- image-manipulation
Repository Index
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🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
- deep-learning
- diffusion
- image-generation
- pytorch
Generative Models by Stability AI
This repository contains the source code for the paper First Order Motion Model for Image Animation
- deep-learning
- image-animation
- generative-model
- motion-retargeting
A collection of resources and papers on Diffusion Models
- diffusion-models
- generative-model
- machine-learning
- score-matching
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
- artificial-intelligence
- deep-learning
- generative-model
- score-matching
Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
- machine-learning
- generative-models
- drug-discovery
- benchmark
Emacs as your personal AI assistant. Use LLMs such as ChatGPT or LLaMA for text generation or DALL-E and Stable Diffusion for image generation. Also supports speech input / output.
Official release of the ProGen models
- language-model
- protein
- generative-model
Generation of protein sequences and evolutionary alignments via discrete diffusion models
- discrete-diffusion
- generative-model
- multiple-sequence-alignment
- protein-sequences
A Euclidean diffusion model for structure-based drug design.
- ddpm
- drug-design
- equivariance
- generative-model
Bolei's archive on generative modeling
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
- ai-aided-drug-discovery
- awesome
- drug-discovery
- molecular-docking
A Tensorfflow implementation of Attend, Infer, Repeat
- tensorflow
- vae
- neural-networks
- attention-mechanism
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
- deep-generative-model
- deep-learning
- single-cell-data-integration
- single-cell-multiomics
Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.
- ai
- tensorflow
- tensorflow2
- keras
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).
- deep-reinforcement-learning
- generative-model
- vae
- molecule-generation