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

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

A research project for text detection and recognition using PyTorch 1.2.

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

Deep Learning Computer Vision Algorithms for Real-World Use

A brand logo detection system using tensorflow object detection API.

Repository for most of the code from my YouTube channel

Full-stack testing PHP framework

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Convolutional Neural Network for Human Activity Recognition in Tensorflow

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

🔡 Token level embeddings from BERT model on mxnet and gluonnlp

[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829

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

Photographing Chinese-Address OCR implemented using CTPN+CTC+Address Correction. 拍照文档中文地址文字识别。

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

A generic image detection program that uses Google's Machine Learning library, Tensorflow and a pre-trained Deep Learning Convolutional Neural Network model called Inception.

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

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

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

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

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

A scene text recognition toolbox based on PyTorch

PyTorch reimplementation of Interactive Deep Colorization

AutoGluon: AutoML for Text, Image, and Tabular Data

RMDL: Random Multimodel Deep Learning for Classification

A curated list of resources focused on Machine Learning in Geospatial Data Science.

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

Multi-view CNN (MVCNN) for shape recognition

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

ASTER in Pytorch

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

Keras tutorial for beginners (using TF backend)

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

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

Simple and comprehensive tutorials in 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).

tensorflow implementation of Grad-CAM (CNN visualization)

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

Keras implementation of Non-local Neural Networks

Face landmarks(fiducial points) detection benchmark

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow

Corruption and Perturbation Robustness (ICLR 2019)

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

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

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

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

C++ project to implement MTCNN, a perfect face detect algorithm, on different DL frameworks. The most popular frameworks: caffe/mxnet/tensorflow, are all suppported now

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

Implementation of music genre classification, audio-to-vec, song recommender, and music search in mxnet

Building Convolutional Neural Networks From Scratch using NumPy

A full pipeline AutoML tool for tabular data

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.

Convolutional neural networks for artistic style transfer.

A best practice for tensorflow project template architecture.

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

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.