Deep-Learning-In-Production
TensorFlow2.0_Notebooks
Deep-Learning-In-Production | TensorFlow2.0_Notebooks | |
---|---|---|
2 | 1 | |
1,073 | 37 | |
0.8% | - | |
0.0 | 0.0 | |
almost 1 year ago | about 3 years ago | |
Jupyter Notebook | Jupyter Notebook | |
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Deep-Learning-In-Production
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[P] Deep Learning in Production Book
The book is based on an old articles series we wrote on our blog so a big portion of the content is already available for free. We just organized/restructured some of the articles and we added some new material. We use a variety of examples with libraries such as Tensorflow, Flask, uWSGI, Nginx, Docker, Kubernetes, Tensorflow Extended, Google Cloud, Vertex AI. The full code and the articles can be found on Github (https://github.com/The-AI-Summer/Deep-Learning-In-Production)
- [D] Deep learning in Production
TensorFlow2.0_Notebooks
What are some alternatives?
strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath
mmcv - OpenMMLab Computer Vision Foundation
ArtLine - A Deep Learning based project for creating line art portraits.
Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM
PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai
ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.
practical-mlops-book - [Book-2021] Practical MLOps O'Reilly Book
cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network
Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch
TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos