Deep neural networks topic
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
curl
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
awesome-deep-learning-music
List of articles related to deep learning applied to music
PointCNN
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Speech-Emotion-Analyzer
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
EmoPy
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
emotion-classification-from-audio-files
Understanding emotions from audio files using neural networks and multiple datasets.
dl-colab-notebooks
Try out deep learning models online on Google Colab
deep_architect
A general, modular, and programmable architecture search framework
vosk-api
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
sockeye
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch