311 Open source projects that are alternatives of or similar to SynThai

A Vietnamese natural language processing toolkit (NAACL 2018)

A Japanese tokenizer based on recurrent neural networks

Rakuten MA (Python version)

Paper: A Simple and Effective Neural Model for Joint Word Segmentation and POS Tagging

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

Sequence Labeling in Tensorflow

Juman++ (a Morphological Analyzer Toolkit)

MONPA 罔拍是一個提供正體中文斷詞、詞性標註以及命名實體辨識的多任務模型

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

Singing Voice Separation via Recurrent Inference and Skip-Filtering Connections - PyTorch Implementation. Demo:

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

Keras implementation of Legendre Memory Units

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.

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

How to build RNNs and LSTMs from scratch with NumPy.

Code for Stanford CS224D: deep learning for natural language understanding

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

paribhasha.herokuapp.com/

Automatic trading bot (WIP)

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

A bidirectional LSTM with attention for multiclass/multilabel text classification.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Spying using Smartwatch and Deep Learning

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

News summarization using sequence to sequence model with attention in TensorFlow.

State of the Art Neural Networks for Deep Learning

SRU is a recurrent unit that can run over 10 times faster than cuDNN LSTM, without loss of accuracy tested on many tasks.

TensorFlow Tutorials

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

A collection of NLP tools for Sinhalese (සිංහල).

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

A tensorflow implementation of "Generating Sentences from a Continuous Space"

Layer-wise Relevance Propagation (LRP) for LSTMs

An unsupervised Chinese word segmentation tool.

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

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

The first public PyTorch implementation of Attentive Recurrent Comparators

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.

Learning the Enigma with Recurrent Neural Networks

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Plain Stock Close-Price Prediction via Graves LSTM RNNs

A curated list of dedicated resources and applications

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Deep learning codes and projects using Python

Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

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

Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

ECG classification programs based on ML/DL methods

Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs

keras project that parses and analyze english resumes

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 Neural Networking library based on NumPy only

Deep-Learning Model Exploration and Development for NLP