TensorFlow2.0_Notebooks VS strv-ml-mask2face

Compare TensorFlow2.0_Notebooks vs strv-ml-mask2face and see what are their differences.

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TensorFlow2.0_Notebooks strv-ml-mask2face
1 1
37 52
- -
0.0 0.0
about 3 years ago almost 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

TensorFlow2.0_Notebooks

Posts with mentions or reviews of TensorFlow2.0_Notebooks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-17.

strv-ml-mask2face

Posts with mentions or reviews of strv-ml-mask2face. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing TensorFlow2.0_Notebooks and strv-ml-mask2face you can also consider the following projects:

mmcv - OpenMMLab Computer Vision Foundation

lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.

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

cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network

pix2seq - Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

diffae - Official implementation of Diffusion Autoencoders