Awesome Open Source

Programming Languages

Search results for neural network variational autoencoder

neural-network x

variational-autoencoder x

12 search results found

Next RecSys Library

Bayesiandeeplearning Survey ⭐ 475

Bayesian Deep Learning: A Survey

Good Papers ⭐ 231

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Pytorch implementation of Block Neural Autoregressive Flow

Kalman Variational Auto-Encoder

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Deep Learning For Clustering In Bioinformatics ⭐ 62

Deep Learning-based Clustering Approaches for Bioinformatics

Awesome Denovo Papers ⭐ 53

Awesome De novo drugs design papers

Li_emnlp_2017 ⭐ 51

Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet

Artificialintelligenceengines ⭐ 48

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Midi Vae ⭐ 36

Numpy Nn Model ⭐ 32

Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.

Variational Graph Recurrent Neural Networks - PyTorch

Tensorflow_deep_learning_models ⭐ 23

TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)

Classifying Vae Lstm ⭐ 18

music generation with a classifying variational autoencoder (VAE) and LSTM

Haskell Vae ⭐ 17

Learning about Haskell with Variational Autoencoders

Probaforms ⭐ 16

Conditional normalizing flows (NFs), conditional GANs, and conditional variational autoencoders (CVAEs) with sklearn-like interface

Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.

Generic Expression Patterns ⭐ 11

Distinguishing between generic and experiment-specific gene expression signals.

Label Free Xai ⭐ 10

This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For more details, please read our ICML 2022 paper: 'Label-Free Explainability for Unsupervised Models'.

Deep_music ⭐ 9

Recurrent neural network in TensorFlow for generating novel monophonic melodies.

VAE + Quantile Networks for MNIST

Variational Autoencoder For Novelty Detection ⭐ 6

A Variational AutoEncoder implemented with Keras and used to perform Novelty Detection with the EMNIST-Letters Dataset.

Related Searches

Python Neural Network (7,064)

Machine Learning Neural Network (4,430)

Deep Learning Neural Network (3,760)

Jupyter Notebook Neural Network (3,677)

Tensorflow Neural Network (2,134)

Pytorch Neural Network (1,416)

Keras Neural Network (1,309)

Neural Network Classification (906)

Dataset Neural Network (857)

C Plus Plus Neural Network (856)

1-12 of 12 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.