handsign-tensorflow VS adblockradio

Compare handsign-tensorflow vs adblockradio and see what are their differences.

adblockradio

An adblocker for live radio streams and podcasts. Machine learning meets Shazam. (by adblockradio)
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handsign-tensorflow adblockradio
2 3
63 1,399
- -
0.0 0.0
about 2 years ago about 3 years ago
JavaScript JavaScript
BSD 2-clause "Simplified" License Mozilla Public License 2.0
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.

handsign-tensorflow

Posts with mentions or reviews of handsign-tensorflow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-10.

adblockradio

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

What are some alternatives?

When comparing handsign-tensorflow and adblockradio you can also consider the following projects:

tfjs-models - Pretrained models for TensorFlow.js

100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building

netron - Visualizer for neural network, deep learning and machine learning models

amazon-transcribe-live-call-analytics - Amazon Transcribe Live Call Analytics (LCA) Sample Solution

wm-22-project - Full stack web app to visualize and forecast precipitations in Morocco 🌧️

DeepCamera - Open-Source AI Camera. Empower any camera/CCTV with state-of-the-art AI, including facial recognition, person recognition(RE-ID) car detection, fall detection and more

Keras.js - Run Keras models in the browser, with GPU support using WebGL

sparsify - ML model optimization product to accelerate inference.