Tvm In Action
TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Ngraph | 1,310 |  | 1 | 4 years ago | 9 | November 09, 2019 | apache-2.0 | C++ | ||
| nGraph - open source C++ library, compiler and runtime for Deep Learning | ||||||||||
| Course Gitbook | 701 | 3 years ago | 1 | |||||||
| Full Stack Deep Learning Online Course | ||||||||||
| Deep Framework | 532 |  | 3 | 18 | 4 years ago | 127 | August 07, 2017 | 11 | mpl-2.0 | HTML |
| Full-stack JavaScript Framework for Cloud-Native Web Applications (perfect for Serverless use cases) | ||||||||||
| Tvm Vta | 170 | a year ago | 2 | apache-2.0 | Scala | |||||
| Open, Modular, Deep Learning Accelerator | ||||||||||
| Sagemaker Deep Demand Forecast | 63 | 2 years ago | apache-2.0 | Python | ||||||
| Using Deep Learning for Demand Forecasting with Amazon SageMaker | ||||||||||
| Navigationcomponentplayground | 43 | 4 years ago | 1 | Kotlin | ||||||
| Sample app leveraging Android Navigation Component | ||||||||||
| Asynctrace | 39 |  | 7 | 4 | 7 years ago | 21 | January 01, 2017 | 1 | mit | JavaScript |
| Deep stack traces based on AsyncListener API | ||||||||||
| Fsdl Text Recognizer Project | 36 | 4 years ago | 2 | mit | Jupyter Notebook | |||||
| Full Stack Deep Learning August 2018 Bootcamp Project (Public) | ||||||||||
| Tvm In Action | 31 | 6 years ago | mit | Jupyter Notebook | ||||||
| TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together | ||||||||||
| Sagemaker Defect Detection | 28 | a year ago | apache-2.0 | Python | ||||||
| Detect Defects in Products from their Images using Amazon SageMaker | ||||||||||
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