kaggle

There are 99 repositories under kaggle topic.

donnemartin / data-science-ipython-notebooks
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.
aws big-data caffe data-science deep-learning hadoop kaggle keras machine-learning mapreduce matplotlib numpy pandas python scikit-learn scipy spark tensorflow theano
Language:Python 26931
d2l-ai / d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
book computer-vision data-science deep-learning gaussian-processes hyperparameter-optimization jax kaggle keras machine-learning mxnet natural-language-processing notebook python pytorch recommender-system reinforcement-learning tensorflow
Language:Python 22611
LightGBM
microsoft / LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
data-mining decision-trees distributed gbdt gbm gbrt gradient-boosting kaggle lightgbm machine-learning microsoft parallel python r
Language:C++ 16386
Mikoto10032 / DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
cnn deep-learning deeplearning gan gcn kaggle machine-learning machinelearning mxnet pytorch rnn tensorflow
Language:Jupyter Notebook 13577
Pytorch-UNet
milesial / Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
convolutional-networks convolutional-neural-networks deep-learning kaggle pytorch pytorch-unet semantic-segmentation tensorboard unet wandb weights-and-biases
Language:Python 8751
apachecn / Interview
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
interview kaggle leetcode machine-learning python
Language:Jupyter Notebook 8605
catboost / catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
big-data catboost categorical-features coreml cuda data-mining data-science decision-trees gbdt gbm gpu gpu-computing gradient-boosting kaggle machine-learning python r tutorial
Language:Python 7919
datawhalechina / competition-baseline
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
data-competition data-science deep-learning kaggle
Language:Jupyter Notebook 4129
kaggle-solutions
faridrashidi / kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
awesome competition data-mining data-science kaggle machine-learning solutions
Language:HTML 3924
TarrySingh / Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
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.
artificial-intelligence aws capsule-network convolutional-neural-networks deep-learning ipython-notebook kaggle keras lua machine-learning matplotlib neural-network pandas python python-data pytorch scikit-learn tensorflow tensorflow-tutorials torch
Language:Python 3697
girls-in-ai / Girls-In-AI
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
deep-learning girl jupyter-notebook kaggle machine-learning python3
Language:Jupyter Notebook 3004
Arturus / kaggle-web-traffic
1st place solution
kaggle-web-traffic kaggle time-series timeseries rnn-encoder-decoder rnn tensorflow cudnn cocob seq2seq
Language:Jupyter Notebook 1814
ChenglongChen / kaggle-CrowdFlower
1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
kaggle-crowdflower search-relevance natural-language-processing nlp kaggle-competetion relevance-competition semantic-matching kaggle search-engine product-search crowdflower semantic-similarity
Language:C++ 1756
pytorch-toolbelt
BloodAxe / pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle farming
pytorch kaggle image-classification image-segmentation deep-learning segmentation python image-processing machine-learning focal-loss jaccard-loss tta test-time-augmentation augmentation object-detection pipeline
Language:Python 1502
MLBox
AxeldeRomblay / MLBox
MLBox is a powerful Automated Machine Learning python library.
auto-ml automated-machine-learning automl classification data-science deep-learning distributed drift encoding kaggle keras lightgbm machine-learning optimization pipeline prediction preprocessing regression stacking xgboost
Language:Python 1488
EliotAndres / kaggle-past-solutions
A searchable compilation of Kaggle past solutions
awesome compilation data-science kaggle
Language:HTML 1478
sb-ai-lab / LightAutoML
Fast and customizable framework for automatic ML model creation (AutoML)
automated-machine-learning automatic-machine-learning automl automl-algorithms binary-classification data-science kaggle lama machine-learning multiclass-classification nlp python regression
Language:Python 1093
catboost / tutorials
CatBoost tutorials repository
catboost ipython ipython-notebook kaggle titanic-dataset tutorials
Language:Jupyter Notebook 993
sberbank-ai-lab / LightAutoML
LAMA - automatic model creation framework
automl classification regression multiclass pytorch nlp model-selection parameter-tuning automated-machine-learning lama pipeline data-science feature-engineering ensembling stacking kaggle gradient-boosting linear-model blackbox whitebox
Language:Python 887
alexattia / Data-Science-Projects
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
challenge hackerrank kaggle machine-learning python
Language:Jupyter Notebook 883
entron / entity-embedding-rossmann
entity-embedding kaggle one-hot-encoding categorical-data categorical-features
Language:Jupyter Notebook 869
the-black-knight-01 / Data-Science-Competitions
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
data-science-competitions data-science kaggle-competition datahack-competition machinehack-competition kaggle competition-code kaggle-winning-solutions-github kaggle-competition-solutions kaggle-competition-for-beginners kaggle-solutions-github analytics-vidhya data-science-competition xgboost machine-learning competitive-data-science-github
797
chocoluffy / deep-recommender-system
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
Language:Jupyter Notebook 789
selimsef / dfdc_deepfake_challenge
A prize winning solution for DFDC challenge
deepfake-detection deepfakes kaggle
Language:Python 744
jeongyoonlee / Kaggler
Code for Kaggle Data Science Competitions
automl feature-engineering kaggle kaggler machine-learning python
Language:Python 740
HouJP / kaggle-quora-question-pairs
Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)
feature-engineering kaggle quora
Language:Python 731
ypeleg / HungaBunga
HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
automl brute fit force kaggle learning machine predict scikit-learn sklearn
Language:Python 706
juliandewit / kaggle_ndsb2017
Kaggle datascience bowl 2017
deep-learning kaggle keras machine-learning medical-imaging tensorflow
Language:Python 621
ypwhs / dogs_vs_cats
猫狗大战
image-classification inception jupyter-notebook kaggle keras keras-tutorials resnet xception
Language:Jupyter Notebook 614
d2l-ai / d2l-vi
Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến, được sử dụng trên 300 trường Đại học từ 55 đất nước bao gồm MIT, Stanford, Harvard, và Cambridge.
deep-learning machine-learning computer-vision tensorflow pytorch python kaggle keras mxnet d2l mlbvn vietnamese-language
Language:Python 596
jiegzhan / multi-class-text-classification-cnn-rnn
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
cnn embeddings kaggle lstm rnn tensorflow text-classification
Language:Python 595
EvilPsyCHo / Deep-Time-Series-Prediction
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
attention wavenet seq2seq time-series-forecasting series-prediction regression deep-learning toturial pytorch lstm kaggle bert
Language:Python 532
4paradigm / AutoX
AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.
kaggle machine-learning python
Language:Jupyter Notebook 500
amirassov / kaggle-imaterialist
The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6
computer-vision mmdetection kaggle object-detection instance-segmentation deep-learning pytorch kaggle-imaterialist hybrid-task-cascade imaterialist
Language:Python 484
ChenglongChen / kaggle-HomeDepot
3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
kaggle kaggle-homedepot kaggle-competition search-relevance natural-language-processing nlp relevance-competition semantic-matching search-engine product-search homedepot semantic-similarity
Language:Python 465
serengil / chefboost
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python
decision-trees gradient-boosting gradient-boosting-machine random-forest adaboost id3 c45-trees cart regression-tree gbm data-mining gradient-boosting-machines data-science kaggle gbdt gbrt machine-learning python categorical-features
Language:Python 449

kaggle

donnemartin / data-science-ipython-notebooks

d2l-ai / d2l-en

microsoft / LightGBM

Mikoto10032 / DeepLearning

milesial / Pytorch-UNet

apachecn / Interview

catboost / catboost

datawhalechina / competition-baseline

faridrashidi / kaggle-solutions

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

girls-in-ai / Girls-In-AI

Arturus / kaggle-web-traffic

ChenglongChen / kaggle-CrowdFlower

BloodAxe / pytorch-toolbelt

AxeldeRomblay / MLBox

EliotAndres / kaggle-past-solutions

sb-ai-lab / LightAutoML

catboost / tutorials

sberbank-ai-lab / LightAutoML

alexattia / Data-Science-Projects

entron / entity-embedding-rossmann

the-black-knight-01 / Data-Science-Competitions

chocoluffy / deep-recommender-system

selimsef / dfdc_deepfake_challenge

jeongyoonlee / Kaggler

HouJP / kaggle-quora-question-pairs

ypeleg / HungaBunga

juliandewit / kaggle_ndsb2017

ypwhs / dogs_vs_cats

d2l-ai / d2l-vi

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

EvilPsyCHo / Deep-Time-Series-Prediction

4paradigm / AutoX

amirassov / kaggle-imaterialist

ChenglongChen / kaggle-HomeDepot

serengil / chefboost