673 Open source projects that are alternatives of or similar to Chainer Rnn Ner

Implementation of papers for text classification task on DBpedia

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

A Benchmark of Text Classification in PyTorch

使用深度学习算法实现的中文问答系统

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。

CNN+LSTM+CTC based OCR implemented using tensorflow.

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.

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

A flexible framework of neural networks for deep learning

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

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Some interesting TensorFlow tutorials for beginners.

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！

TensorFlow and Deep Learning Tutorials

This repo contains implementation of different architectures for emotion recognition in conversations.

Friendly machine learning for the web! 🤖

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

BCDU-Net : Medical Image Segmentation

A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)

CRNN with attention to do OCR,add Chinese recognition

A best practice for deep learning project template architecture.

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

🔬 Nano size Theano LSTM module

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

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

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.

OCR engine for all the languages

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.

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.

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

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

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

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

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

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

The RWTH extensible training framework for universal recurrent neural networks

Image Captioning using InceptionV3 and beam search

A TensorFlow implementation of Recurrent Neural Networks for Sequence Classification and Sequence Labeling

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

Convert TensorFlow models to ONNX

Object Detection with Faster R-CNN in Chainer

in progress

RNN-based generative models for speech.

Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry

Sentence paraphrase generation at the sentence level

Predict Cryptocurrency Price with Deep Learning

TensorFlow implementation of "Tracking the World State with Recurrent Entity Networks".

Simple and comprehensive tutorials in TensorFlow

Machine Learning on Sequential Data Using a Recurrent Weighted Average

Neural Turing Machines (NTM) - PyTorch Implementation

Cryptocurrency Price Prediction Using LSTM neural network

Implementation of "Automatic Portrait Segmentation" and "Deep Automatic Portrait Matting" with Chainer.

Setup and customize deep learning environment in seconds.

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Char-RNN implemented using TensorFlow.

Machine learning models for time series analysis