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soxan
ast | soxan | |
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1 | 1 | |
1,017 | 218 | |
- | - | |
2.3 | 10.0 | |
12 months ago | about 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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Increasing Model Dimensionality
Unless this is purely an educational exercise, just finetune an imagenet model, or better yet a model trained on spectrograms (cochleagrams if you can find one).
soxan
What are some alternatives?
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
fer - Facial Expression Recognition with a deep neural network as a PyPI package
SimCLR - PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
whisper-youtube - 🔉 Youtube Videos Transcription with OpenAI's Whisper
open-metric-learning - Library for metric learning pipelines and models.
w2v2-how-to - How to use our public wav2vec2 dimensional emotion model
efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.
converse - Conversational text Analysis using various NLP techniques
Bangla-Spoken-Number-Recognition - recognizing spoken Bangla numbers using MFCCs and CNN.
face-emotion-recognition - Efficient face emotion recognition in photos and videos