780 Open source projects that are alternatives of or similar to Simple_cnn

[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895

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Android based Vocal Vision for Visually Impaired. Object Detection, Voice Assistance, Optical Character Reader, Read Aloud, Face Recognition, Landmark Recognition, Image Labelling etc.

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Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

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Medical image analysis framework merging ANTsR and deep learning

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

本代码加入了神经风格迁移中文注释，更易理解，同时新加入begin.py可直接运行调试。

reference tensorflow code for named entity tagging

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Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

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Reference caffe implementation of LSUV initialization

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Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

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A re-implementation of mtcnn. Joint training, tutorial and deployment together.

keras를 이용한 딥러닝 기초 학습

An open source library for face detection in images. The face detection speed can reach 1000FPS.

A Tensorflow implementation of QANet for machine reading comprehension

Perform deep neural network based face detection and recognition in the cloud (via AWS lambda) with zero model configuration or tuning.

a python implementation of MC-CNN

Text classifier for Hierarchical Attention Networks for Document Classification

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

基于CNN的验证码整体识别

COVID-19 Detection Using Chest X-Ray

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

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TensorFlow template application for deep learning

A deep learning based gaze estimation framework implemented with PyTorch

ECG classification programs based on ML/DL methods

OpenCV 3 & Keras implementation of face recognition for specific people.

Deep Learning in Haskell

Weakly Supervised Deep Detection Networks (CVPR 2016)

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[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"

CMU's OpenPose for ROS

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