664 Open source projects that are alternatives of or similar to Dancenet

Anomaly detection for streaming data using autoencoders

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

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.

[CVPR2020] Adversarial Latent Autoencoders

Hands-on in-person workshop for Deep Learning with TensorFlow

Use unsupervised and supervised learning to predict stocks

Library of autoencoders for sequential data

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

CRNN with attention to do OCR,add Chinese recognition

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

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.

中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

🔬 Nano size Theano LSTM module

唐诗、宋词生成器，有详细说明

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

Keras tutorial for beginners (using TF backend)

Image Captioning using InceptionV3 and beam search

Sentence paraphrase generation at the sentence level

Neural Turing Machines (NTM) - PyTorch Implementation

Torch implementations of various types of autoencoders

Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Cryptocurrency Price Prediction Using LSTM neural network

A stock trading bot that uses machine learning to make price predictions.

[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.

BCDU-Net : Medical Image Segmentation

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

Collection of generative models in Tensorflow

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

Predict Cryptocurrency Price with Deep Learning

OCR engine for all the languages

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Autoencoder for Point Clouds

Tensorflow implementation of variational auto-encoder for MNIST

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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

文本情感分析

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

🥕 Evolutionary Neural Networks in JavaScript

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

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

CNN+LSTM+CTC based OCR implemented using tensorflow.

A LSTM model using Risk Estimation loss function for stock trades in market

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…

Implementation of a hierarchical CNN based model to detect Big Five personality traits

LSTM based on go and gorgonia

an tutorial implement of voice conversion using pytorch

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

An easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.