839 Open source projects that are alternatives of or similar to Stn Ocr

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MXNet OCR implementation. Including text recognition and detection.

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

MXNet implementation of RNN Transducer (Graves 2012): Sequence Transduction with Recurrent Neural Networks

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

Tesseract OCR wrapper for React Native

Deep Convolutional Neural Networks for Musical Source Separation

Implementation of State-of-the-art Text Classification Models in Pytorch

This is an open sourced book on deep learning.

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

Vehicle detection using YOLO in Keras runs at 21FPS

Draw multi-layer neural network in your browser

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

food image to recipe with deep convolutional neural networks.

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

Attention OCR Based On Tensorflow

Dataset of images of trash; Torch-based CNN for garbage image classification

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

Standalone TensorBoard for visualizing in deep learning

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

End-to-End Speech Processing Toolkit

Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"

[CVPR2020] GhostNet: More Features from Cheap Operations

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

A brand logo detection system using tensorflow object detection API.

Full-stack testing PHP framework

Convolutional Neural Network for Human Activity Recognition in Tensorflow

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"

CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art

A light-weight, power efficient, and general purpose convolutional neural network

PyTorch reimplementation of Interactive Deep Colorization

RMDL: Random Multimodel Deep Learning for Classification

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

ASTER in Pytorch

Keras tutorial for beginners (using TF backend)

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

TensorFlow Basic Tutorial Labs

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

Face landmarks(fiducial points) detection benchmark

Corruption and Perturbation Robustness (ICLR 2019)

(New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Building Convolutional Neural Networks From Scratch using NumPy

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

Implementation of a hierarchical CNN based model to detect Big Five personality traits

Một cuốn sách tương tác về học sâu có mã nguồn, toán và thảo luận. Đề cập đến nhiều framework phổ biến (TensorFlow, Pytorch & MXNet) và được sử dụng tại 175 trường Đại học.