kamalsky Goto Github PK

2022-nips-tenrec

agile_data_science

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

audiolm-pytorch

Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch

audioset_tagging_cnn

awesome-deep-learning-music

List of articles related to deep learning applied to music

baize

Baize is an open-source chatbot trained with ChatGPT self-chatting data, developed by researchers at UCSD and Sun Yat-sen University.

causallift

CausalLift: Causality-based Uplift Modeling in real-world business

causalml

Uplift modeling and causal inference with machine learning algorithms

cloutscraper

Web-scraping SoundCloud.com tracks' stats using Beautiful Soup and Selenium

contrastive-mir-learning

data-science-extensions

dataproc-initialization-actions

Run in all nodes of your cluster before the cluster starts - lets you customize your cluster

deep-image-matching

deepbeer

Experimentations on beers recsys using Keras

docs

gptq-for-llama

4 bits quantization of LLaMa using GPTQ

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

kapre

kapre: Keras Audio Preprocessors

listening-moods

Accompanying code for our ISMIR 2020 paper on mood estimation.

llava

max-audio-embedding-generator

Generate embedding vectors from audio files

mircourse

music-genre-classification-audioset

Music genre classification experiments with Audioset

orcadetector

A VGGish-based DNN trained on the Watkins Marine Mammal Sound Database, with transfer learning from Audioset, to detect multiple marine mammal species.

plylst

Smart playlists for Spotify! Stop relying on fancy pants algorithms to organize your library and instead build playlists the way you want.

pysurvival

Open source package for Survival Analysis modeling

scmmab-nips2018

Structural Causal Bandit

sklearn-audio-transfer-learning

A didactic toolkit to rapidly prototype audio classifiers with pre-trained Tensorflow models and Scikit-learn

sota-music-tagging-models

spec_resnet

Spectrogram is selected as preprocessing feature of audio clips and a feature representation method based on deep residual network (Spec-ResNet) is proposed to detect audio steganography.