1642 Open source projects that are alternatives of or similar to Basicocr

Data augmentation for NLP, presented at EMNLP 2019

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.

Some interesting TensorFlow tutorials for beginners.

Densely Connected Pyramid Dehazing Network (CVPR'2018)

in progress

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

Augmenting word embeddings with their surrounding context using bidirectional RNN

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Image Captioning using InceptionV3 and beam search

SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach

CRNN with attention to do OCR,add Chinese recognition

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

Hands-on in-person workshop for Deep Learning with TensorFlow

Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

Datasets, tools, and benchmarks for representation learning of code.

The deeplearning algorithms implemented by tensorflow

Sarcasm detection on tweets using neural network

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

End-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别

Recurrent Additive Networks for Tensorflow

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

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！

A DCGAN to generate anime faces using custom mined dataset

A new fork base on tess-two and Tesseract 4.0.0

Deep learning codes and projects using Python

lidc nodule detection with CNN and LSTM network

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Train LSTM to writer novel (HongLouMeng here) in Pytorch.

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

IAM dataset

Online Hand Writing Recognition using BLSTM

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

LSTM based human activity recognition using smart phone sensor dataset

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..

Enhanced BiLSTM Inference Model for Natural Language Inference

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses

RNN-LSTM that learns passwords from a starting list

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

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A siamese LSTM to detect sentence/question pairs.

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

CPU and GPU implementations of some 2D RNN layers

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

ECE 535 - Course Project, Deep Learning Framework

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Generate text boxes from input words with a GAN.

Deep Learning

Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification

Pull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework

rnn trained on r/totallynotrobots 🤖

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

A top-down, practical guide to learn AI, Deep learning and Machine Learning.