437 Open source projects that are alternatives of or similar to Video Classification 2 Stream Cnn

Deep learning codes and projects using Python

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

food image to recipe with deep convolutional neural networks.

Implementation of Neural Image Captioning model using Keras with Theano backend

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Kervolution Library in PyTorch (CVPR 2019 Oral)

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Chinese-Text-Classification，Tensorflow CNN（卷积神经网络）实现的中文文本分类。QQ群：522785813，微信群二维码：http://www.tensorflownews.com/

📚 嵌入式系统基础知识与主流编程语言相关内容总结

Pretrained VGG-16 network as feature extractor for Object Recognition (Python, Keras, Scikit-Learn)

A Pytorch Implementation of FER( facial expression recognition )

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

[BMVC17] Weakly Supervised Saliency Detection with A Category-Driven Map Generator

3.41% and 17.11% error on CIFAR-10 and CIFAR-100

Finetune ConvNets with Tensorflow

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

Deep Learning using Rectified Linear Units (ReLU)

嵌入Word2vec词向量的CNN中文文本分类

In this project I have used an convolution neural network with perceptual loss to convert low res image into high res image.

tensorflow implementation of Grad-CAM (CNN visualization)

Pytorch implementation of DeepDream on VGG16 Network

The VGG16 and VGG19 networks in caffe with jupyter notebook

Holistically-Nested Edge Detection

Visualizer for Deep Neural Networks

Pre-trained VGG-Net Model for image classification using tensorflow

stock predict by cnn and lstm

A Keras implementation of MobileNetV2.

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

🎭 Sentiment Analysis of Twitter data using combined CNN and LSTM Neural Network models

MODS with external deep descriptors/detectors

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Comparison of famous convolutional neural network models

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

Keras implementation of a ResNet-CAM model

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Implementation of CNNs, RNNs, and many deep learning techniques in plain Numpy.

Semantically segment the road in the given image.

A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输：绝影】

Detecting near-duplicate videos by aggregating features from intermediate CNN layers

YOLO for object detection tasks

Example of Deconvnet in PyTorch for VGG16

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

Art to Image Style Transfer using Keras and Tensorflow.

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

VGG16 architecture with BatchNorm

A modern PyTorch implementation of SRGAN

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

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

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

A deep learning library to provide algs in pure Numpy or Tensorflow.

Human Trajectory Prediction in Socially Interacting Crowds Using a CNN-based Architecture

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM)

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

Deep Learning Specialization by Andrew Ng on Coursera - My Completed Coursework Repo - All 5 Courses