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cv2

deepmusicrecommendation

Music information retrieval project based on the NIPS paper by van Oord et al.

deezer_mf

Improving Collaborative Metric Learning for Recommendation by a 2-stage negative sampling strategy.

encoder-decoder

Encoder-decoder model with attention (Luong), with two LSTM layers with 500 hidden units on both encoder and decoder side. The vocabulary size on both source (english) and target side (Dutch) is 50000. The model is trained on the train part of the TED dataset (https://wit3.fbk.eu/mt.php?release=2017-01-trnmted), maximum sequence length 50.

fansatstic

An attempt of SAT solver

folder-structure-conventions

Folder / directory structure options and naming conventions for software projects

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

krqr

We're developing an algorithm for generating state-graphs from causal models

mlflow

Open source platform for the machine learning lifecycle

msongsdb

Code for the Million Song Dataset, the dataset contains metadata and audio analysis for a million tracks, a collaboration between The Echo Nest and LabROSA. See website for details.

music_metriclearning

A PyTorch implementation of the paper "Deep ranking: Triplet MatchNet for music metric learning"

nlp1-2017

Repo for University of Amsterdam NLP1 course

openai-whisper-lyric-vid-generator

pants-example-python

An example repo to demonstrate Python support in Pants

probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

pytorch-unet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

scrapera

A universal package of scraper scripts for humans

spotify-auth-heroku

Simple Deploy to Heroku Spotify Authentication

spotifytoyoutubemp3

Download Spotify songs using Youtube

tensorflow

Computation using data flow graphs for scalable machine learning