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

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

[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.

State of the art Chinese Word Segmentation with Bi-LSTMs

BCDU-Net : Medical Image Segmentation

A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

Hybrid Code Networks https://arxiv.org/abs/1702.03274

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

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

Collection of generative models in Tensorflow

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

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Predict Cryptocurrency Price with Deep Learning

Seperate vietnamese using lstm

OCR engine for all the languages

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

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

VirNet: A deep attention model for viral reads identification

Autoencoder for Point Clouds

An open-source sleep stage classification Python package

Tensorflow implementation of variational auto-encoder for MNIST

unsupervised video and image generation

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

MiraPy: A Python package for Deep Learning in Astronomy

🤖🖌️ 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.

Core functionality for the Autonomio augmented intelligence workbench.

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

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

language models toolkits with hierarchical softmax setting

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

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..

Persian sentiment analysis ( آناکاوی سهش های فارسی | تحلیل احساسات فارسی )

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

LSTM RNN for sentiment-based stock prediction

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

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

文本情感分析

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.

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

The project uses state of the art deep learning on collected data for automatic analysis of emotions.

🥕 Evolutionary Neural Networks in JavaScript

Hierarchical fast and high-fidelity audio generation

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

Samples for TensorFlow binding for .NET by Lost Tech

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…

CPU and GPU implementations of some 2D RNN layers

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

Image captioning using attention models

an tutorial implement of voice conversion using pytorch

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

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

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

Thio - a playground for real-time anomaly detection

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

No description or website provided.

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

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