141 Open source projects that are alternatives of or similar to Keras Fewshotlearning

A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need

Photographing Chinese-Address OCR implemented using CTPN+CTC+Address Correction. 拍照文档中文地址文字识别。

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

State of the art Chinese Word Segmentation with Bi-LSTMs

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

sliced-rnn

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Keras implementation of a ResNet-CAM model

Interpolation-Prediction Networks for Irregularly Sampled Time Series

Pruning and other network surgery for trained TF.Keras models.

書籍「今すぐ試したい！機械学習・深層学習（ディープラーニング）画像認識プログラミングレシピ」のソースコードを配布するレポジトリです。

A Tutorial for Serving Tensorflow Models using Kubernetes

PyTorch to Keras model convertor

Generic U-Net Tensorflow 2 implementation for semantic segmentation

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

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

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Примеры для курса "Программирование глубоких нейронных сетей на Python"

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

Identifying forged signatures using convolutional siamese networks implemented in Keras

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

ICDSS Machine Learning Workshop Series: Linear Models

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

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

Hyperparameter Optimization for TensorFlow, Keras and PyTorch

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

A simple self driving car in GTAV that uses the Xception deep neural network model with DeepGTAV

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

Music recommender using deep learning with Keras and TensorFlow

Sign Language Recognition for Deaf People

Introducing neural networks to predict stock prices

Deep Learning with Tensor Flow for EEG MNE Epoch Objects

增值税发票OCR识别，使用flask微服务架构，识别type：增值税电子普通发票，增值税普通发票，增值税专用发票；识别字段为：发票代码、发票号码、开票日期、校验码、税后金额等

A collection of Audio and Speech pre-trained models.

A Thai word tokenization library using Deep Neural Network

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

C3AE implement

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

Introduction to Deep Neural Networks with Keras and Tensorflow

📚 Text classification library with Keras

Using deepLabv3+ to segment humans

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

A fully automated system that transforms Twitch clips into gaming compilations

Keras callbacks for one-cycle training, cyclic learning rate (CLR) training, and learning rate range test.

Removing the phone from the notorious mirror selfie using deep learning

Generating Captions for images using Deep Learning

Keras Implementation of the paper Deep HDR Imaging via A Non-Local Network - TIP 2020

lock mechanism with face recognition and liveness detection

InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy

Cloud ML Engine repo. Please visit the new Vertex AI samples repo at https://github.com/GoogleCloudPlatform/vertex-ai-samples

TensorFlow 2.0 library for distributed training, evaluation, model selection, and fast prototyping.

High Quality Monocular Depth Estimation via Transfer Learning