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Deep generative models for semi-supervised learning.
DGMs for NLP. A roadmap.
PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017
Deep generative networks, coded with Keras.
[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face model…
A Generative Adversarial Networks (GANs) Specialization made by deeplearning.ai on Coursera
An efficient PyTorch library for deep generative modeling.
Generative AI Deep Dive Workshops
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
A generative latent variable model for biological sequence families.
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
code for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models"
Chainer implementation of Deep Convolutional Generative Adversarial Network
Deep Generative Models Course
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Keras implementation of Deep Convolutional Generative Adversarial Networks
Code for deep generative prior (ECCV2020 oral)
Generative Adversarial Networks (GANs) resources sorted by citations
"Deep Generative Modeling": Introductory Examples
DeepPrivacy: A Generative Adversarial Network for Face Anonymization
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Deep Convolutional Generative Adversarial Networks
Python implementation of EM algorithm for GMM. And visualization for 2D case.
Generative Multi-modal Models are Good Class Incremental Learners, CVPR 2024 [PyTorch Code]
Using EM algorithm for mixed Gaussian distribution clustering