All Projects → oreilly-japan → Ml At Work

oreilly-japan / Ml At Work

電子書籍『仕事ではじめる機械学習』のサポートリポジトリです

Projects that are alternatives of or similar to Ml At Work

Openmiir
a public domain dataset of EEG recordings for music imagery information retrieval
Stars: ✭ 95 (-1.04%)
Mutual labels:  jupyter-notebook
Person remover
People removal in images using Pix2Pix and YOLO.
Stars: ✭ 96 (+0%)
Mutual labels:  jupyter-notebook
Machinelearning
A repo with tutorials for algorithms from scratch
Stars: ✭ 96 (+0%)
Mutual labels:  jupyter-notebook
Experiments
Some research experiments
Stars: ✭ 95 (-1.04%)
Mutual labels:  jupyter-notebook
3dpeople Dataset
Visualize 3DPeople Dataset
Stars: ✭ 96 (+0%)
Mutual labels:  jupyter-notebook
Mimic Cxr
Code, documentation, and discussion around the MIMIC-CXR database
Stars: ✭ 96 (+0%)
Mutual labels:  jupyter-notebook
Codekatas
Keep your skills sharp by implementing basic algorithms and data structures
Stars: ✭ 95 (-1.04%)
Mutual labels:  jupyter-notebook
Objdet train tensorflow colab
Google Colab (Jupyter) notebook to retrain Object Detection Tensorflow model with custom dataset.
Stars: ✭ 96 (+0%)
Mutual labels:  jupyter-notebook
Pytorch Pos Tagging
A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Stars: ✭ 96 (+0%)
Mutual labels:  jupyter-notebook
Rexgen direct
Template-free prediction of organic reaction outcomes
Stars: ✭ 95 (-1.04%)
Mutual labels:  jupyter-notebook
Breze
Breze with all the stuff.
Stars: ✭ 95 (-1.04%)
Mutual labels:  jupyter-notebook
Covid Mobility
Stars: ✭ 95 (-1.04%)
Mutual labels:  jupyter-notebook
Bert Token Embeddings
Stars: ✭ 96 (+0%)
Mutual labels:  jupyter-notebook
Rp extract
Rhythm Pattern music feature extractor by IFS @ TU-Vienna
Stars: ✭ 95 (-1.04%)
Mutual labels:  jupyter-notebook
Python Cheatsheet
Basic Cheat Sheet for Python (PDF, Markdown and Jupyter Notebook)
Stars: ✭ 1,334 (+1289.58%)
Mutual labels:  jupyter-notebook
Qiita contents
This is a repository for submitted contents of Qiita.
Stars: ✭ 95 (-1.04%)
Mutual labels:  jupyter-notebook
Gcp For Bioinformatics
GCP Essentials for Bioinformatics Researchers
Stars: ✭ 95 (-1.04%)
Mutual labels:  jupyter-notebook
Ngsim env
Learning human driver models from NGSIM data with imitation learning.
Stars: ✭ 96 (+0%)
Mutual labels:  jupyter-notebook
Spark Py Notebooks
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Stars: ✭ 1,338 (+1293.75%)
Mutual labels:  jupyter-notebook
Cheat Sheets
A cheat sheet can be really helpful when you're trying a set of exercises related to a specific topic, or working on a project. Because you can only fit so much information on a single sheet of paper, most cheat sheets are a simple listing of syntax rules. This set of cheat sheets aims to remind you of syntax rules, but also remind you of important concepts as well.
Stars: ✭ 96 (+0%)
Mutual labels:  jupyter-notebook

「仕事ではじめる機械学習」ノートブック

このレポジトリは、「仕事ではじめる機械学習」のノートブックが置かれています。

正誤表はこのレポジトリの Wiki にあります。

レポジトリの構成

各章毎にノートブックがあります。

chap07のコードは、Windows環境ではfastFMの導入ができないため、Windows Subsystem for Linuxを使うか、LinuxかmacOSで実行をしてください。

ソースコードの動作はPython 3.5.1, 3.6.3で確認しています。下記の通り環境を構築してください。

$ virtualenv -p python3 venv
$ source venv/bin/activate
(venv)$ pip install -r requirements.txt -c constraints.txt

fastFMのインストールについて

fastFMのバイナリインストールではimportに失敗する場合があります。その場合はfastFMのリポジトリsource install を参照して、ソースからコンパイルしてください。

Linux用及びmacOS用のwheelがPyPiにあるので、Python 3.6でもfastFMの利用が可能となりました。

著者らによる本書発売に関するコラム

有賀

西林

中山

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].