Repository Index

Official Code for DragGAN (SIGGRAPH 2023)

• artificial-intelligence
• generative-adversarial-network
• generative-models
• image-manipulation

🤗 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

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

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

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