aiqc VS TensorFlow2.0_Notebooks

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

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aiqc TensorFlow2.0_Notebooks
7 1
102 37
- -
4.9 0.0
9 months ago about 3 years ago
Python Jupyter Notebook
BSD 3-clause "New" or "Revised" 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.

aiqc

Posts with mentions or reviews of aiqc. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-28.

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 aiqc and TensorFlow2.0_Notebooks you can also consider the following projects:

mmcv - OpenMMLab Computer Vision Foundation

guildai - Experiment tracking, ML developer tools

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.