free-spoken-digit-dataset VS dnn_from_scratch

Compare free-spoken-digit-dataset vs dnn_from_scratch and see what are their differences.

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free-spoken-digit-dataset dnn_from_scratch
1 1
596 29
- -
0.0 0.0
over 1 year ago almost 3 years ago
Python Python
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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.

free-spoken-digit-dataset

Posts with mentions or reviews of free-spoken-digit-dataset. We have used some of these posts to build our list of alternatives and similar projects.

dnn_from_scratch

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

What are some alternatives?

When comparing free-spoken-digit-dataset and dnn_from_scratch you can also consider the following projects:

NSynth-MIDI-Renderer - Sample based concatenative synthesizer for the NSynth dataset. Render any MIDI (.mid) sequence with the notes of NSynth.

deepxde - A library for scientific machine learning and physics-informed learning

ESC-50 - ESC-50: Dataset for Environmental Sound Classification

HyperGAN - Composable GAN framework with api and user interface

spokestack-python - Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.

ALAE - [CVPR2020] Adversarial Latent Autoencoders

guesslang - Detect the programming language of a source code

open-lpr - Open Source and Free License Plate Recognition Software

Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0

t81_558_deep_learning - T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

the-gan-zoo - A list of all named GANs!