duralava VS TensorFlow2.0_Notebooks

Compare duralava vs TensorFlow2.0_Notebooks and see what are their differences.

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duralava TensorFlow2.0_Notebooks
5 1
90 37
- -
1.3 0.0
about 1 year ago about 3 years ago
Jupyter Notebook
- 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.

What are some alternatives?

When comparing duralava and TensorFlow2.0_Notebooks you can also consider the following projects:

How-to-learn-Deep-Learning - A top-down, practical guide to learn AI, Deep learning and Machine Learning.

mmcv - OpenMMLab Computer Vision Foundation

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

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

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

strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

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

Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

docs - TensorFlow documentation

deepsvg - [NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

Emotion_Detection_CNN_keras - Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time.