Mimo_keras
Package: TF-Keras multiple-input multiple-output (mimo) DataGenerator for training the Keras mimo-models, training with massive and complex datasets with any type of data
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Deep Learning Keras Tensorflow | 2,863 | 2 years ago | 12 | mit | Jupyter Notebook | |||||
| Introduction to Deep Neural Networks with Keras and Tensorflow | ||||||||||
| Invoicenet | 2,297 | 5 months ago | 62 | mit | Python | |||||
| Deep neural network to extract intelligent information from invoice documents. | ||||||||||
| Labml | 1,771 |  | 6 | 3 months ago | 144 | September 10, 2023 | 17 | mit | Jupyter Notebook | |
| 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱 | ||||||||||
| Talos | 1,596 | 5 months ago | 10 | mit | Python | |||||
| Hyperparameter Optimization for TensorFlow, Keras and PyTorch | ||||||||||
| Densedepth | 1,365 | a year ago | 16 | gpl-3.0 | Jupyter Notebook | |||||
| High Quality Monocular Depth Estimation via Transfer Learning | ||||||||||
| Invoice | 1,356 | 10 months ago | 25 | mit | C | |||||
| 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 | ||||||||||
| Face Mask Detection | 1,355 | a year ago | 20 | mit | Jupyter Notebook | |||||
| Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras | ||||||||||
| Otto | 913 | a year ago | 17 | mit | JavaScript | |||||
| 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 | ||||||||||
| Pytorch2keras | 848 | 1 | a year ago | 23 | May 14, 2020 | 58 | mit | Python | ||
| PyTorch to Keras model convertor | ||||||||||
| Kafka Streams Machine Learning Examples | 806 | 4 months ago | 10 | apache-2.0 | Java | |||||
| 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. | ||||||||||
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