Max Named Entity Tagger
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Fedscale | 347 | 5 months ago | 1 | July 18, 2022 | 41 | apache-2.0 | Python | |||
| FedScale is a scalable and extensible open-source federated learning (FL) platform. | ||||||||||
| Deep Online Video Stabilization Deploy | 33 | 3 years ago | 4 | Python | ||||||
| deep-online-video-stabilization-deploy | ||||||||||
| Primrose | 33 | a year ago | 15 | May 22, 2023 | 25 | apache-2.0 | Python | |||
| Primrose modeling framework for simple production models | ||||||||||
| Notebooks | 31 | 9 years ago | mit | CSS | ||||||
| Interactive notebooks for trying analyses and exploring datasets | ||||||||||
| Max Named Entity Tagger | 23 | 2 years ago | 3 | apache-2.0 | Python | |||||
| Locate and tag named entities in text | ||||||||||
| Ngt Archive | 8 | 6 months ago | 6 | other | Python | |||||
| The NGEE-Tropics archive service supports the NGEE Tropics project. It is a place to upload datasets and metadata. Generated documentation (http://ngeet.github.io/ngt-archive/) | ||||||||||
| Benchmark Webservice | 7 | 4 months ago | 1 | other | Python | |||||
| This repository contains the codebase that runs the webservice to benchmark orthology predictions on a common reference proteome dataset. | ||||||||||
| Neo4j Datasets | 6 | a year ago | mit | Cypher | ||||||
| Deploy publicly available Neo4j datasets on Azure Container Instances and optionally migrate them to Azure Cosmos DB | ||||||||||
| Tsai Deepvision Eva4.0 Phase 2 | 6 | a year ago | 48 | mit | Jupyter Notebook | |||||
| This contains the solutions to the assignments given in The School of AI - Extensive Vision AI 4.0 EVA4 Phase2 | ||||||||||
| Flower_classification_vai_tf_dataset | 6 | 4 years ago | mit | C++ | ||||||
| The project show how to quick train a model and deploy it on Xilinx FPGA using TensorFlow and Vitis AI. It uses tf.data.Dataset API to handle input data, so that the input function need to be rewritten. And there is a backup for DNNDK 3.1 tag | ||||||||||
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