1188 Open source projects that are alternatives of or similar to Kraken

🥕 Evolutionary Neural Networks in JavaScript

Machine learning, in numpy

Sarcasm detection on tweets using neural network

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

Augmenting word embeddings with their surrounding context using bidirectional RNN

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。

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

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

Some of the ML and DL related reading materials, research papers that I've read

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

Anomaly detection for temporal data using LSTMs

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

A new fork base on tess-two and Tesseract 4.0.0

RObust document image BINarization

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.

CRNN with attention to do OCR,add Chinese recognition

CNN+LSTM+CTC based OCR implemented using tensorflow.

Keras tutorial for beginners (using TF backend)

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

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

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

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

This package contains an OCR engine - libtesseract and a command line program - tesseract. Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0). It also needs traineddata files which support the legacy engine, for example those from the tessdata repository.

Deep learning driven jazz generation using Keras & Theano!

Sentence paraphrase generation at the sentence level

Neural network visualization toolkit for keras

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Codes for weekly challenges on Deep Learning by Siraj

Machine Learning Practical course repository

High-quality implementations of standard and SOTA methods on a variety of tasks.

🧠 A tool that makes AI easier.

📷 Simple Ionic app using ocrad.js

Tensors and differentiable operations (like TensorFlow) in Rust

links to conference publications in graph-based deep learning

Python implementation of soft-DTW.

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

pytorch 包教不包会

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

利用语言模型，纠正OCR识别错误

This repository implements the the encoder and decoder model with attention model for OCR

🎨 Winning solution for the Painter by Numbers competition on Kaggle.

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

A scene text recognition toolbox based on PyTorch

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

A LSTM model using Risk Estimation loss function for stock trades in market

Machine learning algorithms for many-body quantum systems

A curated list of awesome Distributed Deep Learning resources.

离线环境下第二代居民身份证信息识别

Attention OCR in Tensorflow 2.0

Assist in organizing your piles of documents, resulting from scanners, e-mails and other sources with miminal effort.

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

DEPRECATED: Depth Map Estimation from Monocular Images

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.

Convert hardsub to softsub

A very basic Arabic OCR based on tesseract OCR engine written in Java.

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

LSTM based on go and gorgonia

An OCR based document parser to extract information from identity document images