Popular GitHub Repositories for Variational Quantum Circuits

SoftVC VITS Singing Voice Conversion

Bayesian Modeling and Probabilistic Programming in Python

Deep universal probabilistic programming with Python and PyTorch

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

A Collection of Variational Autoencoders (VAE) in PyTorch.

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Collection of generative models in Tensorflow

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Gaussian processes in TensorFlow

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Awesome resources on normalizing flows.

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation (NeurIPS 2023 Spotlight)

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

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning