794 Open source projects that are alternatives of or similar to Richwordsegmentor

BCDU-Net : Medical Image Segmentation

Annotation of ECG signals using deep learning, tensorflow’ Keras

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

ConText v4: Neural networks for text categorization

A lexicon for Sudachi

The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

Scripts and tools to easily communicate with DeepGTAV. In the future a self-driving agent will be implemented.

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Machine Vision Toolbox for MATLAB

Video Object Segmentation

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

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

convolutional lstm implementation in pytorch

Differentiable Mask-Matching Network for Video Object Segmentation (ICCV 2019)

Fast 3D point cloud segmentation using supervoxels with geometry and color for 3D scene understanding

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

datagrand 2019 information extraction competition rank9

Predict Race and Ethnicity Based on the Sequence of Characters in a Name

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)

Collection of computer vision models, ready to be included in a JVM project

Collections of model quantization algorithms

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Anomaly detection for streaming data using autoencoders

A PyTorch Implementation of MobileNetv2+DeepLabv3

No description or website provided.

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

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。

第三届魔镜杯 智能客服问题相似性算法设计 第12名解决方案

Paper and implementation of UNet-related model.

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

Convolutional (Patch) Networks for Semantic Segmentation

Lung fields segmentation on CXR images using convolutional neural networks.

Text tokenization and sentence segmentation (segtok v2)

A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.😏

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

Morfessor is a tool for unsupervised and semi-supervised morphological segmentation

Multi-object image datasets with ground-truth segmentation masks and generative factors.

Plain Stock Close-Price Prediction via Graves LSTM RNNs

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

cGAN-based Multi Organ Nuclei Segmentation

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

Pointer Networks Implementation in Keras

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

MOTSFusion: Track to Reconstruct and Reconstruct to Track

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

Dstl Satellite Imagery Feature Detection

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

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Source Code for KNN Matting, CVPR 2012 / TPAMI 2013. MATLAB code ready to run. Simple and robust implementation under 40 lines.

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

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

Word Embedding + LSTM + FC

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

Explore Action Recognition

任何 JS 环境可用的中文分词包，fork from leizongmin/node-segment

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）