Popular GitHub Repositories for Categorical Variational Autoencoder

SoftVC VITS Singing Voice Conversion

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Bayesian Modeling and Probabilistic Programming in Python

Deep universal probabilistic programming with Python and PyTorch

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

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

A Collection of Variational Autoencoders (VAE) in PyTorch.

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

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

Collection of generative models in Tensorflow

[CVPR2020] Adversarial Latent Autoencoders

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Modularized Implementation of Deep RL Algorithms in PyTorch

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

Advanced Deep Learning with Keras, published by Packt

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

Gaussian processes in TensorFlow