Kento Nozawa (nzw0301)

nzw0301

Geek Repo

Company:Preferred Networks, Inc. / Preferred Elements, Inc.

Location:Japan

Home Page:nzw0301.github.io

Twitter:@nzw0301

Github PK Tool:Github PK Tool


Organizations
apache

Kento Nozawa's repositories

optuna-wandb

Example codes in the medium post titled "Optuna meets Weights and Biases."

pb-contrastive

#UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning

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gap-contrastive-and-supervised-losses

#ICML2022 Experimental codes of "On the Surrogate Gap between Contrastive and Supervised Losses"

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Understanding-Negative-Samples

#NeurIPS2021 Codes for Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning

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optuna-examples

Examples for https://github.com/optuna/optuna

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aim

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

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optuna

A hyperparameter optimization framework

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

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pytorch-pfn-extras

Supplementary components to accelerate research and development in PyTorch

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quickshift

A clustering algorithm that first finds the high-density regions (cluster-cores) of the data and then clusters the remaining points by hill-climbing. Such seedings act as more stable and expressive cluster-cores than the singleton modes found by popular algorithm such as mean shift. (https://arxiv.org/abs/1805.07909)

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refill

Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers (EMNLP 2022)

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scikit-learn

scikit-learn: machine learning in Python

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v11

Workshop on Applications of Pattern Analysis (WAPA) 2010 Proceedings

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v119

Proceedings of ICML 2020

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v12

NIPS Mini-Symposium on Causality in Time Series

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v13

ACML 2010 Proceedings

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v14

Proceedings of the Learning to Rank Challenge

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v15

AISTATS 2011 Proceedings

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v16

Active Learning and Experimental Design Workshop

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v162

Proceedings of ICML 2022

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v18

KDD Cup 2011

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v202

Proceedings of ICML 2023

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v48

ICML 2016 Proceedings

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v9

AISTATS 2010 Proceedings

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