575 Open source projects that are alternatives of or similar to Deeptranslit

Friendly machine learning for the web! 🤖

日英変換・英語略語展開のための IME 追加辞書 📙 日本語から英語への和英変換や英語略語の展開を Google 日本語入力や ATOK などで可能にする IME 拡張辞書です

Train an LSTM to generate piano or violin/piano music.

Convert TensorFlow models to ONNX

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

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Predict Cryptocurrency Price with Deep Learning

Map of more than 1,200 diacritics and ligatures to english alphabet equivalents.

UTF-8 to ASCII transliteration / slugify module for node.js, browser, Web Worker, React Native, Electron and CLI.

light deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)

唐诗、宋词生成器，有详细说明

Generating Dance steps for given music with deep learning

文本情感分析

English for Chinese, 新概念英语笔记,英语学习资料

[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案

List of papers, code and experiments using deep learning for time series forecasting

Keras tutorial for beginners (using TF backend)

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

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

Chatbot in 200 lines of code using TensorLayer

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

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

CNN+LSTM+CTC based OCR implemented using tensorflow.

a free and open source speech synthesizer for Russian and other languages

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

Delightful npm packages that make you say "wow, didn't know that was possible!"

Anomaly detection implemented in Keras

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

DSMR-protocol reader, telegram data storage and energy consumption visualizer. Can be used for reading the smart meter DSMR (Dutch Smart Meter Requirements) P1 port yourself at your home. You will need a cable and hardware that can run Linux software. Free for non-commercial use. A Docker implementation can be found here: https://github.com/xirixiz/dsmr-reader-docker

Another attempt to use Deep-Learning in the financial markets

BCDU-Net : Medical Image Segmentation

Stock Price Prediction using Machine Learning Techniques

🔬 Nano size Theano LSTM module

subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks

Ruby Hacking Guide Translation

📘A super fast dictionary for Chrome/Firefox

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

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Image Captioning using InceptionV3 and beam search

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.

The CMU Link Grammar natural language parser

Implementation of Neural Image Captioning model using Keras with Theano backend

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

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.

ML that can extract german and english sentiment

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

🥕 Evolutionary Neural Networks in JavaScript

speaker diarization system using an LSTM

Joe Speigle's Korean/English dictionary database

A collection of awesome study resources for learners of English.

Pluralize and singularize any word (golang adaptation of https://www.npmjs.com/package/pluralize)

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

Named Entity Recognition using multilayered bidirectional LSTM

Hierarchical Attention Networks for Document Classification in PyTorch

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

keras를 이용한 딥러닝 기초 학습

Image Processing with Python

Design and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras