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conditional-gan-on-cifar-10-dataset

This model can be modified to include additional inputs, y, on which the models can be conditioned. y can be any type of additional inputs, for example, class labels. The conditioning can be achieved by simply feeding y to both the Generator — G(z|y) and the Discriminator — D(x|y).

gtzan.keras

[REPO] Music Genre classification on GTZAN dataset using CNNs

hate_speech_detection_mipt_major-project

Detection of hate speech which is posing a threat to mental and emotional health of masses.

music-genra-classifiaction

Audio processing is one of the most complex tasks in data science as compared to image processing and other classification techniques. One such application is music genre classification which aims to classify the audio files in certain categories of sound to which they belong. The application is very important and requires automation to reduce the manual error and time because if we have to classify the music manually then one has to listen out each file for the complete duration. So To automate the process we use Machine learning and deep learning algorithms

music_genre_recognition

Music Genre Recognition is an important field of research in Music Information Retrieval (MIR). A music genre is a conventional category that identifies some pieces of music as belonging to a shared tradition or set of conventions, i.e. it depicts the style of music.

polaris

polaris java project

squential_imaging_lstm

stock-market-prediction