Kazuki Onodera

2nd Place Solution 💰🥈

2nd Place Solution 💰🥈

2nd place solution🥕🥈

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This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

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https://www.kaggle.com/c/microsoft-malware-prediction/leaderboard

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3rd Place Solution for the Stanford Ribonanza RNA Folding Competition

Source code of the Stanford Ribonanza RNA Folding first place solution

https://www.kaggle.com/competitions/linking-writing-processes-to-writing-quality/leaderboard

Stanford Ribonanza RNA Folding 4th place solution

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3rd place Solution🎅🥉

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PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

Kaggle | Instacart Market Basket Analysis🥕🥉

Turing Test's 3rd Place Solution for Home Depot Product Search Relevance Competition on Kaggle (https://www.kaggle.com/c/home-depot-product-search-relevance)

https://www.kaggle.com/c/data-science-bowl-2019

Code for 1st place solution in Understanding Clouds from Satellite Images Challenge.

https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge

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https://www.kaggledays.com/

Code for 1st Place Solution in Intracranial Hemorrhage Detection Challenge @ RSNA2019

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書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです

Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

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Pokemon Go API for Python