Daisuke Niizumi (daisukelab)

daisukelab

Geek Repo

Location:Kawasaki, Kanagawa, Japan

Twitter:@nizumical

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Daisuke Niizumi's repositories

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ddp_tmpl

DDP template

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dl-cliche

dl-cliche: Packaging cliche codes

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s3prl

Self-Supervised Speech/Sound Pre-training and Representation Learning Toolkit

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sound-clf-pytorch

Sound classifier tutorials/examples in PyTorch

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uclser20

Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.

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BYOL

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

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byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

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pytorch_cnn_visualizations

Pytorch implementation of convolutional neural network visualization techniques

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mlflow-docker-compose

Deploy mlflow with docker-compose

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dcase2020_task2_variants

DCASE2020 Challenge Task 2 baseline variants

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metric_learning

Metric Learning App Dev Resource

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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setup

Setup scripts/resources for various purposes/projects.

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dl-image

Practical Machine Learning Image Application Toolchain

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ml-sound-classifier

Machine Learning Sound Classifier

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EntropyPenalty

This repo provides code used in the paper "Entropy Penalty: Towards Generalization Beyond the IID Assumption" (https://arxiv.org/abs/1910.00164):

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DeepAnomalyDetection_benchmark

Benchmark for DeepLearning anomaly detection

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freesound-audio-tagging-2019

Kaggle Freesound Audio Tagging 2019 Competition Solution

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protonet-fine-grained-clf

(Using) Prototypical Networks as a Fine Grained Classifier

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albumentations

fast image augmentation library and easy to use wrapper around other libraries

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squeezedet-keras-plus

Keras implementation of the Squeeze Det Object Detection Deep Learning Framework

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fastText

Library for fast text representation and classification.

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bert

TensorFlow code and pre-trained models for BERT

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small_book_image_dataset

Small dataset of book images

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project-ml

Template for general machine learning project

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