Top 33 cnn-model open source projects

12306 Captcha
基于深度学习的12306验证码识别
Open model zoo
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Video Classification Cnn And Lstm
To classify video into various classes using keras library with tensorflow as back-end.
Sppnet Pytorch
A simple Spatial Pyramid Pooling layer which could be added in CNN
Vincent Ai Artist
Style transfer using deep convolutional neural nets
Openpose Darknet
Openpose implementation using darknet
Shufflenetv2 Pytorch
Implementation of ShuffleNetV2 for pytorch
Cnn Yelp Challenge 2016 Sentiment Classification
IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.
Cnn Text Classification Pytorch
CNNs for Sentence Classification in PyTorch
Facerank
FaceRank - Rank Face by CNN Model based on TensorFlow (add keras version). FaceRank-人脸打分基于 TensorFlow (新增 Keras 版本) 的 CNN 模型(QQ群:167122861)。技术支持:http://tensorflow123.com
Cnn Lstm Bilstm Deepcnn Clstm In Pytorch
In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM
Captcha Tensorflow
Image Captcha Solving Using TensorFlow and CNN Model. Accuracy 90%+
Evil
Optical Character Recognition in Swift for iOS&macOS. 银行卡、身份证、门牌号光学识别
Cnn Models
ImageNet pre-trained models with batch normalization for the Caffe framework
Deeptraffic
Deep Learning models for network traffic classification
Speech Emotion Recognition
Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.
yolo-deepsort-flask
Target detection and multi target tracking platform based on Yolo DeepSort and Flask.
SpeakerDiarization RNN CNN LSTM
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).
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