126 Open source projects that are alternatives of or similar to Variational-NMT

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

Variational autoencoder for Lego minifig faces

Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution

Open-Source Neural Machine Translation in Tensorflow

机器翻译子任务-翻译质量评价-复现 WMT2018 阿里论文结果

Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019

An implementation of attention-based neural machine translation using Pytorch

Code for "Variational Neural Machine Translation" (EMNLP2016)

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Minimalist NMT for educational purposes

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

PyTorch implementation of normalizing flow models

A PyTorch implementation of "Multimodal Generative Models for Scalable Weakly-Supervised Learning" (https://arxiv.org/abs/1802.05335)

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

Tools for filtering and cleaning parallel and monolingual corpora for machine translation and other natural language processing tasks.

Understanding the Difficulty of Training Transformers

Learning about Haskell with Variational Autoencoders

generative adversarial nets for neural machine translation

Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349

基于双向RNN，Attention机制的编解码神经机器翻译模型

Implementation of 'Self-Adversarial Variational Autoencoder with Gaussian Anomaly Prior Distribution for Anomaly Detection'

Neural Machine Translation with Keras

Torch Implemention of ECCV'16 paper: Attribute2Image

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch

Assessing Generative Models via Precision and Recall (official repository)

An implementation of VAEGAN (variational autoencoder + generative adversarial network).

Network mapping tool

CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity"

Using neural network to build expressive hierarchical distribution; A variational method to accurately estimate posterior uncertainty; A fast and general method for Bayesian inference. (ICML 2018)

We got a stew going!

Interactive exploration of MNIST variational autoencoder latent space with React and tensorflow.js.

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

Variational autoencoder for anomaly detection (in PyTorch).

No description or website provided.

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

机器翻译子任务-翻译质量评价-在BERT模型后面加上Bi-LSTM进行fine-tuning

nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.

Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition

An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.

Shared Latent Space VAE's

An implementation of RNNsearch using TensorFlow

Invariant representation learning from imaging and spectral data

Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.

AE and VAE Playground in PyTorch

A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.

IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

Implementation of a convolutional Variational-Autoencoder model in pytorch.

Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.

Experiments with Adversarial Autoencoders using Keras

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

Code and datasets of "Multilingual Extractive Reading Comprehension by Runtime Machine Translation"

No description or website provided.