pytorch-image-classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision. (by bentrevett)
Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network
Enhancing Speech Emotion Classification with CNNs: This project seeks to overcome the limitations of traditional approaches and improve the accuracy of emotion recognition. CNNs automatically extract features from speech signals, capturing complex patterns and nuances, leading to enhanced performance compared to traditional methods. (by EmilVl6)
| pytorch-image-classification | Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network | |
|---|---|---|
| 1 | 2 | |
| 899 | 2 | |
| - | - | |
| 2.6 | 6.8 | |
| over 2 years ago | 11 months 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.
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.
pytorch-image-classification
Posts with mentions or reviews of pytorch-image-classification.
We have used some of these posts to build our list of alternatives
and similar projects.
-
neural networks project
https://github.com/bentrevett/pytorch-image-classification You can find plethora of options like the one above that I have sent, just google it, After mnist usually people go for image classification for differentiating between cats and dogs
Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network
Posts with mentions or reviews of Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing pytorch-image-classification and Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network you can also consider the following projects:
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
face-emotion-recognition - Efficient face emotion recognition in photos and videos
SimCLR - PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
converse - Conversational text Analysis using various NLP techniques
PyTorch-Crash-Course - This is the repository for the PyTorch machine learning crash course.
fer - Facial Expression Recognition with a deep neural network as a PyPI package
strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath
pytorch-image-classification vs gan-vae-pretrained-pytorch
Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network vs face-emotion-recognition
pytorch-image-classification vs SimCLR
Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network vs converse
pytorch-image-classification vs PyTorch-Crash-Course
Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network vs fer
Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network vs strv-ml-mask2face