398 Open source projects that are alternatives of or similar to Fast Shadow Detection

Natural Language Processing with TensorFlow, published by Packt

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

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

Visualising predictions of deep neural networks

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

CNN for stock market prediction using raw data & candlestick graph.

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

Cifar-10 CNN implementation using TensorFlow library with 20% error.

采用CNN将高分辨率灰度图像和低分辨率彩色图像合成为高分辨率彩色图像的图像融合算法

PSPNet implemented in PyTorch for single-person human parsing task, evaluating on Look Into Person (LIP) dataset.

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

Deep Learning Toolkit for Medical Image Analysis

Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

Text Classification by Convolutional Neural Network in Keras

PCN based on ncnn framework.

A Benchmark of Text Classification in PyTorch

Try to use tf.estimator and tf.data together to train a cnn model.

CNN image style transfer 🎨.

Tools to Design or Visualize Architecture of Neural Network

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Face identification with CNN + TPE using Keras

In this project, I implemented several ensemble methods (including bagging, AdaBoost, SAMME, stacking, snapshot ensemble) for a normal CNN model and Residual Neural Network.

Hide screen when boss is approaching.

Facelet-Bank for Fast Portrait Manipulation (pytorch)

sentiment analysis、文本分类、ALBERT、TextCNN、classification、tensorflow、BERT、CNN、text classification

CNN-RNN中文文本分类，基于TensorFlow

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

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

Unofficial tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

Training code for facial landmark detection based on deep convolutional neural network.

Caffe to VHDL

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

Augmenting word embeddings with their surrounding context using bidirectional RNN

A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

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

Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks

Discriminative Unsupervised Feature Learning with Convolutional Neural Networks

Diseases Detection from NIH Chest X-ray data

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

Distance Recognition of a Human Being with Deep CNN's

Code examples for new APIs of iOS 10.

The Official Deep Learning Framework for Route-based Place Recognition

3D image classification using CNN (Convolutional Neural Network)

Simple Sign Language Detector

DeMoN: Depth and Motion Network

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

Deepfakes Video classification via CNN, LSTM, C3D and triplets

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

Data augmentation for NLP, presented at EMNLP 2019

SincNet is a neural architecture for efficiently processing raw audio samples.

🌅The code of post "Image retrieval using MatconvNet and pre-trained imageNet"

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Deep Learning--深度学习