PRML algorithms implemented in Python

Automatic extraction of relevant features from time series:

Deep CCA (DCCA) network

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.

OpenCCG library for parsing and realization with CCG

Reading Wikipedia to Answer Open-Domain Questions

Library of spatially constrained clustering algorithms

ctpn+crnn Scene character recognition

Caffe: a fast open framework for deep learning.

Models and examples built with TensorFlow

Visual Attention based OCR

A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings

A curated list of resources dedicated to scene text localization and recognition

Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

Summary of deep learning models for dialog systems (Tiancheng Zhao LTI, CMU)

Combine Baidu Research warpctc with Caffe

OCR with caffe deep learning framework -> Migrated to tensorflow

Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

CNN and LSTM model for text recognition

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

A modified SSD model for text detection

Fast parallel CTC.

kaldi-asr/kaldi is the official location of the Kaldi project.

I have modified kaldi that adds CTC loss function and cosine loss fuction, and others

Oxford Deep NLP 2017 course

Text-Detection-using-py-faster-rcnn-framework

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

http://torch.ch