188 Open source projects that are alternatives of or similar to Website Fingerprinting

Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf

Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder

A list of Neural MT implementations

[EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li

AE and VAE Playground in PyTorch

End-to-end ASR/LM implementation with PyTorch

MiraPy: A Python package for Deep Learning in Astronomy

Neural Machine Translation with Keras

Contains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.

Autoencoder for Point Clouds

Autoencoders using Keras

Shared Latent Space VAE's

Torch implementations of various types of autoencoders

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

an open-source implementation of sequence-to-sequence based speech processing engine

ICVGIP' 18 Oral Paper - Classification of thoracic diseases on ChestX-Ray14 dataset

An open-source tool for sequence learning in NLP built on TensorFlow.

Variational autoencoder, denoising autoencoder and other variations of autoencoders implementation in keras

Open-Source Neural Machine Translation in Tensorflow

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

Conversation models in TensorFlow. (website removed)

Experiments with Adversarial Autoencoders using Keras

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

An implementation of attention-based neural machine translation using Pytorch

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoisi…

Global NIPS Paper Implementation Challenge of "Hiding Images in Plain Sight: Deep Steganography"

Tensorflow implementation of variational auto-encoder for MNIST

A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Transformer Implementation using PyTorch for Neural Machine Translation (Korean to English)

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

[In-Progress] Tensorflow implementation of Sequence to Sequence Learning with Neural Networks

Next RecSys Library

text generation based on transformer

[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.

MWPToolkit is an open-source framework for math word problem(MWP) solvers.

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

Statistical Learning & Data Mining IV - H2O Presenation & Tutorial

Sequence to sequence learning using TensorFlow.

PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'

Advanced Deep Learning with Keras, published by Packt

📈 PyTorch dual-attention LSTM-autoencoder for multivariate Time Series 📈

Pytorch seq2seq chatbot

Image captioning using attention models

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

No description or website provided.

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.

Learning about Haskell with Variational Autoencoders

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding

[CVPR2020] Adversarial Latent Autoencoders

This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

TensorFlow and Deep Learning Tutorials

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

TextBox is an open-source library for building text generation system.