Stars
Hands-On Image Generation with TensorFlow 2.0, published by Packt
Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc
The extended and verified music video emotion analysis dataset for data driven algorithm.
Building, training and deploying a fully convolutional neural network in TensorFlow
A software designed to plot given mathematical functions
Evolving a neural network with a genetic algorithm.
The source code of "A Streamlined Encoder/Decoder Architecture for Melody Extraction"
Music transcription using machine learning
An application that predicts the chords when melspectrograms of guitar sound is fed into a CNN.
Python framework for Speech and Music Detection using Keras.
Visualisation, analysis, and annotation of music audio recordings
Keras Temporal Convolutional Network.
yagyapandeya / horovod
Forked from horovod/horovodDistributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Transformer-XL for Jazz music composition. Paper: "The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-Composed Music through Quantitative Measures", ISMIR 2020
Generate music with LSTMs in Keras
The Harmonix Set: Beats, Downbeats, and Structural Annotations for Pop Music
Pytorch implementation of the paper, "Representation Learning with Contrastive Predictive Coding", or CPC, https://arxiv.org/pdf/1807.03748.pdf
Synthetic sound event detection dataset using Cow sound and UrbanSound8K events
A real time Multimodal Emotion Recognition web app for text, sound and video inputs
A Keras version with pretrained GoogleNews word embeddings for the Cornel Movie Review dataset.
Compares the performance of text classification using pre-trained word vectors. Implemented in Keras on Tensorflow uisng GloVe word embeddings.
Exploring NLP libraries...
Refined Version of @scottlawsonbc and all schematics + Tutorial 🎵🎵
Code accompanying ISMIR 2020 paper - "Music FaderNets: Controllable Music Generation Based On High-Level Features via Low-Level Feature Modelling".
Deep Learning for Time Series Classification