Lists (3)
Stars
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Load and view .npy files containing 2D and 1D NumPy arrays.
An incremental parsing system for programming tools
arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.
Library to help interface with the on-board hardware of the Romi 32U4 Control Board
Implementation of Breadth First Search algorithm for graph traversal on GPU architecture using CUDA
Convert Workday's excel export format into an ICS file that contains your registered classes.
A command-line tool that displays images as colorized ASCII art in the terminal.
Open-source vector similarity search for Postgres
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Variational Autoencoder (VAE) with perception loss implementation in pytorch
Pytorch implementation of a Variational Autoencoder trained on CIFAR-10. The encoder and decoder modules are modelled using a resnet-style U-Net architecture with residual blocks.
Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.
This project performs neural architecture search via various evolution strategies. Use it to find the perfect network for your specific dataset
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
This project aims to predict the stock market trend for the next day based on the sentiment classification on the daily news or the analysis on the historical time series data.
Computer vision projects for USGS-ASL