1225 Open source projects that are alternatives of or similar to air_writing

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

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Train LSTM to writer novel (HongLouMeng here) in Pytorch.

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

All my experiments with AI and ML

Chinese Poetry Generation

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Speaker independent emotion recognition

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

copper price(time series) prediction using bpnn and lstm

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

基于RNN生成古诗

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

Word Embedding + LSTM + FC

Haste: a fast, simple, and open RNN library

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

Natural Language Processing with TensorFlow, published by Packt

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

Efficient, transparent deep learning in hundreds of lines of code.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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

A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

My Attempt(s) In The World Of ML/DL....

CNN, LSTM, NBOW, fasttext 中文文本分类

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

Char-level RNN LSTM text generator📄.

PyTorch tutorial for learners

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

A visualization tool for understanding and debugging RNNs

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

language model in Chinese，基于Pytorch官方文档实现

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

Reasoning Over Knowledge Graph Paths for Recommendation

A cute multi-layer LSTM that can perform like a human 🎶

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

Nested LSTM Cell

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

LSTM based human activity recognition using smart phone sensor dataset

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Deep learning driven jazz generation using Keras & Theano!

Recurrent Additive Networks for Tensorflow

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

RNN-LSTM that learns passwords from a starting list

GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..

The Official Deep Learning Framework for Route-based Place Recognition

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)