kaggle
There are 5480 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.
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.
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.
Mikoto10032/DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
DrewThomasson/ebook2audiobook
Generate audiobooks from e-books, voice cloning & 1107+ languages!
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
apachecn/Interview
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
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.
faridrashidi/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
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
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.
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
Arturus/kaggle-web-traffic
1st place solution
ChenglongChen/kaggle-CrowdFlower
1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
BloodAxe/pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle farming
AxeldeRomblay/MLBox
MLBox is a powerful Automated Machine Learning python library.
EliotAndres/kaggle-past-solutions
A searchable compilation of Kaggle past solutions
sb-ai-lab/LightAutoML
Fast and customizable framework for automatic ML model creation (AutoML)
catboost/tutorials
CatBoost tutorials repository
alexattia/Data-Science-Projects
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
sberbank-ai-lab/LightAutoML
LAMA - automatic model creation framework
selimsef/dfdc_deepfake_challenge
A prize winning solution for DFDC challenge
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...).
chocoluffy/deep-recommender-system
key Deep Learning engineering tricks in recsys
jeongyoonlee/Kaggler
Code for Kaggle Data Science Competitions
HouJP/kaggle-quora-question-pairs
Kaggle：Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)
ypeleg/HungaBunga
HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
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.
juliandewit/kaggle_ndsb2017
Kaggle datascience bowl 2017
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.
4paradigm/AutoX
AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.
amirassov/kaggle-imaterialist
The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6
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
ChenglongChen/kaggle-HomeDepot
3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.