Popular GitHub Repositories for Sequential Vae

Machine learning, in numpy

Code for the paper "Jukebox: A Generative Model for Music"

A Collection of Variational Autoencoders (VAE) in PyTorch.

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0

A unified, comprehensive and efficient recommendation library

Collection of generative models in Tensorflow

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

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

Advanced Deep Learning with Keras, published by Packt

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

[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.

Next RecSys Library

Vector Quantized VAEs - PyTorch Implementation

List of Molecular and Material design using Generative AI and Deep Learning

Experiments for understanding disentanglement in VAE latent representations

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”

This custom_node for ComfyUI adds one-click "Virtual VRAM" for any UNet and CLIP loader as well MultiGPU integration in WanVideoWrapper, managing the offload/Block Swap of layers to DRAM *or* VRAM to maximize the latent space of your card. Also includes nodes for directly loading entire components (UNet, CLIP, VAE) onto the device you choose