donnemartin / data-science-ipython-notebooks

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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

python aws data-science machine-learning caffe theano big-data spark deep-learning hadoop tensorflow numpy scikit-learn keras pandas kaggle scipy matplotlib mapreduce

Updated Jul 24, 2020
Python

microsoft / LightGBM

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Open

[python] suppress the warning about categorical feature override

guolinke commented Sep 11, 2020

C:\ProgramData\Anaconda3\lib\site-packages\lightgbm\basic.py:1555: UserWarning: categorical_feature in Dataset is overridden.
New categorical_feature is ['C01', 'C02', 'C03', 'C04', 'C05', 'C06', 'C07', 'C08', 'C09', 'C10', 'C11', 'C12', 'C13', 'C14', 'C15', 'C16', 'C17', 'C18', 'C19', 'C20', 'C21', 'C22', 'C23', 'C24', 'C25', 'C26']
  'New categorical_feature is {}'.format(sorted(list(cate

[docs] update list of winning solutions

2

Open

[R-package] All functions should have explicit return statements

3

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d2l-ai / d2l-en

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Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

python data-science machine-learning natural-language-processing computer-vision deep-learning mxnet book notebook tensorflow keras pytorch kaggle

Updated Sep 12, 2020
Python

apachecn / Interview

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Interview = 简历指南 + LeetCode + Kaggle

python machine-learning leetcode interview kaggle

Updated Sep 10, 2020
Jupyter Notebook

catboost / catboost

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Open

Custom c++ metric Run Problem

gavrenkov commented Jun 17, 2020

Problem:
catboost version: 0.23.2
Operating System: all
Tutorial: https://github.com/catboost/tutorials/blob/master/custom_loss/custom_metric_tutorial.md

Impossible to use custom metric (С++).

Code example

from catboost import CatBoost
train_data = [[1, 4, 5, 6],

Suggestion for Catboost Tutorial

8

Open

Implement ColumnDescriptionClass

1

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Mikoto10032 / DeepLearning

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深度学习入门教程, 优秀文章, Deep Learning Tutorial

machine-learning deep-learning mxnet tensorflow cnn pytorch kaggle gan rnn machinelearning deeplearning gcn

Updated Sep 12, 2020
Jupyter Notebook

milesial / Pytorch-UNet

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PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pytorch kaggle tensorboard convolutional-networks unet semantic-segmentation densecrf pytorch-unet tensorboard-pytorch

Updated Aug 12, 2020
Python

TarrySingh / Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

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A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

Updated Sep 11, 2020
Python

girls-in-ai / Girls-In-AI

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免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

machine-learning deep-learning jupyter-notebook python3 kaggle girl

Updated Jul 5, 2019
Jupyter Notebook

ChenglongChen / kaggle-CrowdFlower

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1st Place Solution for Search Results Relevance Competition on Kaggle.

natural-language-processing kaggle kaggle-competition search-relevance kaggle-crowdflower

Updated May 14, 2016
C++

Arturus / kaggle-web-traffic

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1st place solution

timeseries time-series tensorflow kaggle rnn seq2seq cudnn rnn-encoder-decoder kaggle-web-traffic cocob

Updated Oct 15, 2018
Jupyter Notebook

EliotAndres / kaggle-past-solutions

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A searchable compilation of Kaggle past solutions

data-science awesome kaggle compilation

Updated Dec 23, 2019
HTML

datawhalechina / competition-baseline

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数据科学竞赛各种baseline代码、思路分享

kaggle

Updated Sep 3, 2020
Jupyter Notebook

QuantScientist / Deep-Learning-Boot-Camp

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A community run, 5-day PyTorch Deep Learning Bootcamp

python data-science machine-learning meetup deep-learning gpu docker-image cuda pytorch kaggle nvidia kaggle-competition cuda-kernels bootcamp kaggle-scripts pytorch-tutorial pycuda pytorch-tutorials

Updated Apr 6, 2019
Jupyter Notebook

AxeldeRomblay / MLBox

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MLBox is a powerful Automated Machine Learning python library.

Updated Aug 25, 2020
Python

BloodAxe / pytorch-toolbelt

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PyTorch extensions for fast R&D prototyping and Kaggle farming

python machine-learning deep-learning pipeline image-processing pytorch kaggle image-classification segmentation object-detection image-segmentation augmentation focal-loss tta jaccard-loss test-time-augmentation

Updated Sep 11, 2020
Python

entron / entity-embedding-rossmann

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kaggle categorical-data categorical-features entity-embedding one-hot-encoding

Updated Jan 21, 2020
Jupyter Notebook

HouJP / kaggle-quora-question-pairs

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Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)

kaggle quora feature-engineering

Updated Dec 20, 2017
Python

jeongyoonlee / Kaggler

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Code for Kaggle Data Science Competitions

python machine-learning kaggle feature-engineering automl kaggler

Updated May 28, 2020
Python

ypeleg / HungaBunga

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HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

learning machine scikit-learn sklearn kaggle fit force brute predict automl

Updated Aug 2, 2020
Python

juliandewit / kaggle_ndsb2017

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Kaggle datascience bowl 2017

machine-learning deep-learning tensorflow keras kaggle medical-imaging

Updated Apr 13, 2018
Python

chocoluffy / deep-recommender-system

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深度学习在推荐系统中的应用及论文小结。

data-science deep-learning kaggle recommendation-system

Updated Jun 14, 2019
Jupyter Notebook

jiegzhan / multi-class-text-classification-cnn-rnn

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Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

text-classification tensorflow cnn embeddings kaggle lstm rnn

Updated Mar 23, 2018
Python

ypwhs / dogs_vs_cats

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猫狗大战

keras jupyter-notebook kaggle image-classification resnet keras-tutorials inception xception

Updated May 21, 2018
Jupyter Notebook

interviewBubble / Data-Science-Competitions

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Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

data-science machine-learning kaggle kaggle-competition xgboost data-science-competition competition-code analytics-vidhya data-science-competitions datahack-competition machinehack-competition kaggle-winning-solutions-github kaggle-competition-solutions kaggle-competition-for-beginners kaggle-solutions-github competitive-data-science-github

Updated Jan 30, 2020

catboost / tutorials

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CatBoost tutorials repository

ipython ipython-notebook tutorials kaggle catboost titanic-dataset

Updated Jul 9, 2020
Jupyter Notebook

ChenglongChen / kaggle-HomeDepot

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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)

natural-language-processing kaggle kaggle-competition search-relevance kaggle-homedepot

Updated Dec 31, 2018
Python

amirassov / kaggle-imaterialist

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The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6

computer-vision deep-learning pytorch kaggle object-detection instance-segmentation imaterialist mmdetection kaggle-imaterialist hybrid-task-cascade

Updated Jan 12, 2020
Python

ClimbsRocks / machineJS

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[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

javascript data-science machine-learning scikit-learn machine-learning-algorithms ml javascript-library kaggle machine-learning-library data-scientists automl numerai automated-machine-learning auto-ml

Updated Aug 29, 2016
Python

minerva-ml / open-solution-home-credit

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Open solution to the Home Credit Default Risk challenge 🏡

python competition open-source machine-learning deep-learning pipeline neptune pipeline-framework python3 kaggle xgboost lightgbm feature-engineering reproducibility python35 credit-scoring reproducible-experiments credit-risk

Updated Jul 1, 2019
Python

kaggle

Here are 2,354 public repositories matching this topic...

donnemartin / data-science-ipython-notebooks

microsoft / LightGBM

[python] suppress the warning about categorical feature override

[docs] update list of winning solutions

[R-package] All functions should have explicit return statements

d2l-ai / d2l-en

apachecn / Interview

catboost / catboost

Custom c++ metric Run Problem

Suggestion for Catboost Tutorial

Implement ColumnDescriptionClass

Mikoto10032 / DeepLearning

milesial / Pytorch-UNet

TarrySingh / Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

girls-in-ai / Girls-In-AI

ChenglongChen / kaggle-CrowdFlower

Arturus / kaggle-web-traffic

EliotAndres / kaggle-past-solutions

datawhalechina / competition-baseline

QuantScientist / Deep-Learning-Boot-Camp

AxeldeRomblay / MLBox

BloodAxe / pytorch-toolbelt

entron / entity-embedding-rossmann

HouJP / kaggle-quora-question-pairs

jeongyoonlee / Kaggler

ypeleg / HungaBunga

juliandewit / kaggle_ndsb2017

chocoluffy / deep-recommender-system

jiegzhan / multi-class-text-classification-cnn-rnn

ypwhs / dogs_vs_cats

interviewBubble / Data-Science-Competitions

catboost / tutorials

ChenglongChen / kaggle-HomeDepot

amirassov / kaggle-imaterialist

ClimbsRocks / machineJS

minerva-ml / open-solution-home-credit

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