strv-ml-mask2face VS Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network

Compare strv-ml-mask2face vs Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network and see what are their differences.

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)
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strv-ml-mask2face Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network
1 2
52 2
- -
0.0 6.8
almost 3 years ago 11 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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strv-ml-mask2face

Posts with mentions or reviews of strv-ml-mask2face. We have used some of these posts to build our list of alternatives and similar projects.

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 strv-ml-mask2face and Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network you can also consider the following projects:

lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

face-emotion-recognition - Efficient face emotion recognition in photos and videos

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

converse - Conversational text Analysis using various NLP techniques

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

fer - Facial Expression Recognition with a deep neural network as a PyPI package

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

pytorch-image-classification - Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

pix2seq - Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

diffae - Official implementation of Diffusion Autoencoders

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.