6252 Open source projects that are alternatives of or similar to 3d Mri Brain Tumor Segmentation Using Autoencoder Regularization

Some interesting TensorFlow tutorials for beginners.

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Text classification models. Used a submodule for other projects.

Predict Cryptocurrency Price with Deep Learning

A End to End CNN Model which predicts the steering wheel angle based on the video/image

Exercise notebooks for CVND.

keras를 이용한 딥러닝 기초 학습

This toolbox is support material for the book on CNN (http://www.convolution.network).

CNN for intent classification task in a Chatbot

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

lidc nodule detection with CNN and LSTM network

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

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

Music recommender using deep learning with Keras and TensorFlow

A deep learning based gaze estimation framework implemented with PyTorch

Try out deep learning models online on Google Colab

Diseases Detection from NIH Chest X-ray data

Implementation of Neural Image Captioning model using Keras with Theano backend

PyTorch tutorials A to Z

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

Datasets, tools, and benchmarks for representation learning of code.

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Using Keras and cats to visualize layers from CNNs

A PyTorch implementation of "DGC-Net: Dense Geometric Correspondence Network"

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Deep learning codes and projects using Python

Sequence-to-Sequence Framework in PyTorch

food image to recipe with deep convolutional neural networks.

Paper reading notes on Deep Learning and Machine Learning

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

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Code for Tensorflow Machine Learning Cookbook

Convolutional Neural Network for Human Activity Recognition in Tensorflow

QA - Answer Selection (Rank candidate answers for a given question)

Solution to Kaggle - Web Traffic Time Series Forecasting

All about Neural Networks!

Service Classification based on Service Description

Face identification with cnn+triplet-loss written by Keras.

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Visualisations for Convolutional Neural Networks in Pytorch

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

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

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

MTCNN with Motion Detection, on Raspberry Pi with Love

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

A re-implementation of mtcnn. Joint training, tutorial and deployment together.

PyTorch tutorial for learners

DLTK Model Zoo

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

CNN image classifier implemented in Keras Notebook 🖼️.

PyTorch implementation of SIFT descriptor

코딩셰프의 3분 딥러닝, 케라스맛

Object classification with CIFAR-10 using transfer learning

Image Captioning using InceptionV3 and beam search

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... ...

Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow

The deeplearning algorithms implemented by tensorflow

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

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