There are 14 repositories under cnn-model topic.
Pre-trained Deep Learning models and demos (high quality and extremely fast)
MOT using deepsort and yolov3 with pytorch
In PyTorch Learing Neural Networks Likes CNN、BiLSTM
CNNs for Sentence Classification in PyTorch
Image Captcha Solving Using TensorFlow and CNN Model. Accuracy 90%+
Deep Learning models for network traffic classification
ImageNet pre-trained models with batch normalization for the Caffe framework
A simple Spatial Pyramid Pooling layer which could be added in CNN
Keras implementation of a ResNet-CAM model
To classify video into various classes using keras library with tensorflow as back-end.
Style transfer using deep convolutional neural nets
Bases on Leaf images we are trying to predict plant disease using convolutional neural network. PyTorch implementation
Openpose implementation using darknet
The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper
CNN for heartbeat classification
Train and deploy a cat vs dog image recognition model using TensorFlow
Object classification with CIFAR-10 using transfer learning
Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.
IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 review dataset.
all kinds of demos of tensorflow code
Weapon Detection & Classification through CCTV surveillance using Deep Learning-CNNs.
This is a python application which converts american sign language into text and speech which helps Dumb/Deaf people to start conversation with normal people who dont understand this language
Highway Networks implement in pytorch
This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convolutional neural networks, Multi-layer perceptron
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).
Compare six baseline deep learning models on TrecQA
Target detection and multi target tracking platform based on Yolo DeepSort and Flask.
[ICCV 2021] Official Tensorflow Implementation for "Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions"
Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.
An Image classifier to identify whether the given image is Batman or Superman using a CNN with high accuracy. (From getting images from google to saving our trained model for reuse.)