GitHub - google-deepmind/sonnet: TensorFlow-based neural network libraryYou signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
GitHub - nejumi/kaggle_memo
まずは、素うどんのXGBoostにかけて、plot_importance, feature_importances_を確認する。しかる後に、各特徴量をF-SCOREの高い順にExploratory Data Analysis (EDA)を行い、データに対する感覚を掴む。特徴量の数が少ないのであれば、初めからEDA。 情報を含まないcolumnsを除く。[Kaggle Kernel: R, Python] 標準偏差が0の説明変数 (constant cols) を除く。 重複した説明変数 (duplicated cols) を1つだけ残して他を除く。 相関係数が1である説明変数の組 (perfectly correlated cols) を探し、1つだけ残して他を除く。 各列について、値が0である説明変数の数を数えて、合計値を追加の説明変数として加える (count 0 per row)。逆
GitHub - stitchfix/algorithms-tour: How data science is woven into the fabric of Stitch Fix
This project was an iterative creative endeavour; we've cleaned up the code a bit, but acknowledge that it is not the prettiest thing you'll ever see. Apologies in advance for any pain caused. That said, we hope you find some bits of it useful or interesting. The figure below illustrates the overall structure. The two most important <div> elements are the #sections and #vis elements, which play th
GitHub - dgschwend/zynqnet: Master Thesis "ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network"
Image Understanding is becoming a vital feature in ever more applications ranging from medical diagnostics to autonomous vehicles. Many applications demand for embedded solutions that integrate into existing systems with tight real-time and power constraints. Convolutional Neural Networks (CNNs) presently achieve record-breaking accuracies in all image understanding benchmarks, but have a very hig
GitHub - PaddlePaddle/Paddle: PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
English | 简体中文 | 日本語 Welcome to the PaddlePaddle GitHub. PaddlePaddle, as the first independent R&D deep learning platform in China, has been officially open-sourced to professional communities since 2016. It is an industrial platform with advanced technologies and rich features that cover core deep learning frameworks, basic model libraries, end-to-end development kits, tools & components as well
awesome-algorithms/README.md at master · shinnya/awesome-algorithms
Websites you should use to learn classic algorithms Wikipedia - Algorithms - Of course!! Wikipedia - Data Structures - and why not ?!! Geeks for Geeks - Lots and lots of well explained and implemented algorithms. Data Structure Visualizations - Visualize the behavior of Data Structures and play with its operations. Algorithms Visualization - A dense article on Algorithms Visualization. A Visual Gu
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kaggle_memo/README.md at master · nejumi/kaggle_memo
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GitHub - shinnya/awesome-algorithms: A curated list of awesome places to learn and/or practice algorithms.