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

Impementation of MobileNetV2 in pytorch

A Keras implementation of MobileNetV2.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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

Semantic JPEG image compression using deep convolutional neural network (CNN)

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

CNN acceleration on virtex-7 FPGA with verilog HDL

MODS with external deep descriptors/detectors

LCNN: End-to-End Wireframe Parsing

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

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Comparison of famous convolutional neural network models

Natural Language Processing with TensorFlow, published by Packt

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.

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

Keras implementation of a ResNet-CAM model

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

No description or website provided.

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

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

Text Classification by Convolutional Neural Network in Keras

Semantically segment the road in the given image.

CNN image style transfer 🎨.

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

Face identification with CNN + TPE using Keras

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

Facelet-Bank for Fast Portrait Manipulation (pytorch)

YOLO for object detection tasks

A neural network that transforms a design mock-up into a static website.

Example of Deconvnet in PyTorch for VGG16

Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn

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

Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017

Art to Image Style Transfer using Keras and Tensorflow.

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

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

3D image classification using CNN (Convolutional Neural Network)

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

DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/

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

VGG16 architecture with BatchNorm

A High-Quality Real Time Upscaler for Anime Video

A Lightweight Optical Flow CNN - Revisiting Data Fidelity and Regularization, TPAMI 2020

A modern PyTorch implementation of SRGAN

游戏捏脸，基于神经风格迁移框架生成逼真人脸

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

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

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

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

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".

This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.

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

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

使用tensorflow和cnn做的图像识别，对四种花进行了分类。

The Convolutional Neural Network(CNN) for Android

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

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

YOLO for object detection tasks

Image Captioning using InceptionV3 and beam search