Top 1371 keras open source projects

Reference implementations of popular DL models missing from keras-applications & keras-contrib

Vision-Language Transformer and Query Generation for Referring Segmentation (ICCV 2021)

Medical image segmentation ( Eye vessel segmentation)

Applying the 100 Layer Tiramisu on the Camvid Dataset

Deep Learning using Rectified Linear Units (ReLU)

2018“云移杯- 景区口碑评价分值预测

Fiction generator with Tensorflow. 模仿王小波的风格的小说生成器

tfdeploy: Deploy Tensorflow Models from R

This is the baseline of Kaggle-dog-breed-classification on Python, Keras, and TensorFlow.

Identifying retina images with diabetic retinopathy using convolutional neural networks.

Proof-of-concept of emotion-targeted content delivery using machine learning and ARKit.

How to run a Keras model on Android using Tensorflow API.

Using deep learning to detect Atrial fibrillation

Layer normalization implemented in Keras

Recognize Digits using Deep Neural Networks in Google Chrome live!

"GAN 인 액션"(한빛미디어, 2020)의 코드 저장소입니다.

Machine Learning Project to identify an ID Card on an image

A tool which implements Convolutional Neural Networks to train a predictive model to classify skin lesions.

A R-CNN machine learning model for handling Pop-up window in mobile Apps.

A collection of Methods and Models for various architectures of Artificial Neural Networks

Implementation of a 3D Convolutional Neutral Network in Keras on an Alzheimers Disease MRI Scan Dataset

An implementation of the Deep Knowledge Tracing (DKT) using Tensorflow 2.0

Multi-stream CNN architectures for action detection with actor-centric filtering

💥Faster R-CNN from scratch written with Keras

In this repository i tried to replicate a cool project by a japanese scientist who made a machine which had 100 % accuracy in defeating humans in the game of stone-paper and scissors

A Simple Deep Neural Network to classify images made with Keras

A TensorFlow+Keras implementation of "Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms"

Run keras models with a Flux backend

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

Selective Classification For Deep Neural Networks.

Temporal Convolutional Feature Pyramid Network (TCFPN) & Iterative Soft Boundary Assignment (ISBA), CVPR '18

Colorizing B&W Photos with Neural Networks

This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis

Squeeze-unet Semantic Segmentation for embedded devices

Chessbot using computer vision to play on any chess website

10 days 10 different practical applications of Deep Learning (primarily NLP) using Tensorflow and Keras

Generating (fake) Chinese characters using GAN

Keras callback function for stochastic weight averaging

Code implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX Security 2018

Single Shot MultiBox Detector(SSD)目标检测算法

Extending Keras to support tfrecord dataset

Face Detection, Face Recognition, Age & Gender Detection, Emotion Detection

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

Implemented a Convolutional Neural Network for end-to-end driving in a simulator using Tensorflow and Keras. The project involves training over 13,000 images in a unity3d simulator to steer the car successfully throughout the track

Convolutional recurrent neural network for scene text recognition or OCR in Keras

Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2

深度学习相关代码

A Flask web app for handwritten digit recognition using machine learning

Tensorflow NCE loss in Keras

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Implementation of Siamese CBOW using keras whose backend is tensorflow.

No description or website provided.

精准的百度指数抓取

An original implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)

My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓

Advanced Deep Learning

Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.

Tornado is a human-in-the-loop machine learning framework that helps you exploit your unlabelled data to train models through a simple and easy to use web interface.

Full package for applying deep learning to virtual slides.

Repository supporting the study group based on the course book 'D2L'. Material would be added as we progress through the course.