252 Open source projects that are alternatives of or similar to gcWGAN

Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm

Template with code & dataset for the "Structural basis for solubility in protein expression systems" challenge at the Copenhagen Bioinformatics Hackathon 2021.

Rosetta FunFolDes – a general framework for the computational design of functional proteins.

Neural Networks for Protein Sequence Alignment

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

Research Framework for easy and efficient training of GANs based on Pytorch

Pytorch implementation of pix2pix for various datasets.

VSCode Extension for interactively visualising protein structure data in the editor

Periodic Spatial Generative Adversarial Networks

Speech Enhancement Generative Adversarial Network in TensorFlow

DGMs for NLP. A roadmap.

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

Official git repository for Biopython (originally converted from CVS)

No description or website provided.

🧬 An R package for visualizing molecular data in 3D

A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design

Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure

Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.

Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.

Generator loss to reduce mode-collapse and to improve the generated samples quality.

Collection of generative models in Tensorflow

Pytorch implementation of Generated Image Quality Assessment

Generative Adversarial Networks (GANs) resources sorted by citations

View proteins and trajectories in the terminal

A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms

Modelling the Language of Life - Deep Learning Protein Sequences

MOLeculAR structure annoTator

De novo protein structure prediction using iteratively predicted structural constraints

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

Variants of Vision Transformer and its downstream tasks

PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

A convenient MIDI / symbolic music tokenizer for Deep Learning networks, with multiple strategies 🎶

GAN model using PyTorch

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

PyTorch Implementation of ByteDance's Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech

No description or website provided.

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

tensorflow2.x implementations of Generative Adversarial Networks.

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.

Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

Official Repository for the paper Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach published in ECCV 2020 (https://arxiv.org/abs/2007.12553)

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

Tensorflow implementation of Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions (CVPR 2019)

PyTorch implementation of "Conditional Image Generation with PixelCNN Decoders" by van den Oord et al. 2016

Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution

Codes for CyGen, the novel generative modeling framework proposed in "On the Generative Utility of Cyclic Conditionals" (NeurIPS-21)

Differentiable molecular simulation of proteins with a coarse-grained potential

Protein Secondary Structure predictor using Convolutional Neural Networks

Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution Prediction" (NeurIPS-21)

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

Improving MMD-GAN training with repulsive loss function

A basic and simple tool for code auto completion

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

📚 🔬 PIA - Protein Inference Algorithms