Topic: kaggle Goto Github
Some thing interesting about kaggle
Some thing interesting about kaggle
kaggle,AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.
Organization: 4paradigm
Home Page: https://autox.readthedocs.io
kaggle,:octocat: AI圈Noah plan-AI数据竞赛Top可复现解决方案(Awesome Top Solution List of Excellent AI Competitions)
Organization: ai-sphere
kaggle,DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
User: alexattia
kaggle,The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6
User: amirassov
Home Page: https://www.kaggle.com/c/imaterialist-fashion-2019-FGVC6
kaggle,Interview = 简历指南 + 算法题 + 八股文 + 源码分析
Organization: apachecn
Home Page: https://interview.apachecn.org
kaggle,1st place solution
User: arturus
kaggle,MLBox is a powerful Automated Machine Learning python library.
User: axelderomblay
Home Page: https://mlbox.readthedocs.io/en/latest/
kaggle,Pytorch starter kit for Kaggle competitions
User: bfortuner
kaggle,PyTorch extensions for fast R&D prototyping and Kaggle farming
User: bloodaxe
kaggle,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.
Organization: catboost
Home Page: https://catboost.ai
kaggle,CatBoost tutorials repository
Organization: catboost
kaggle,1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
User: chenglongchen
Home Page: https://www.kaggle.com/c/crowdflower-search-relevance
kaggle,3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
User: chenglongchen
Home Page: https://www.kaggle.com/c/home-depot-product-search-relevance
kaggle,深度学习在推荐系统中的应用及论文小结。
User: chocoluffy
kaggle,[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
User: climbsrocks
Home Page: https://github.com/ClimbsRocks/auto_ml
kaggle,Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Organization: d2l-ai
Home Page: https://D2L.ai
kaggle,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.
Organization: d2l-ai
kaggle,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
Organization: datawhalechina
Home Page: http://coggle.club/
kaggle,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.
User: donnemartin
kaggle,A searchable compilation of Kaggle past solutions
User: eliotandres
Home Page: https://ndres.me/kaggle-past-solutions/
kaggle,Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
User: evilpsycho
kaggle,🏅 Collection of Kaggle Solutions and Ideas 🏅
User: faridrashidi
Home Page: https://farid.one/kaggle-solutions
kaggle,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
Organization: girls-in-ai
Home Page: http://girls-in-ai.github.io/Girls-In-AI/
kaggle,Kaggle:Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)
User: houjp
kaggle,Code for Kaggle Data Science Competitions
User: jeongyoonlee
kaggle,Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
User: jiegzhan
Home Page: https://www.kaggle.com/c/sf-crime/data
kaggle,Kaggle datascience bowl 2017
User: juliandewit
kaggle,Kaggle | 1st place solution for Freesound Audio Tagging 2019
User: lromul
Home Page: https://www.kaggle.com/c/freesound-audio-tagging-2019
kaggle,Highly Accurate and Efficient Burn detection and Classification trained with Deep Learning Model
User: michael-ovo
kaggle,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.
Organization: microsoft
Home Page: https://lightgbm.readthedocs.io/en/latest/
kaggle,深度学习入门教程, 优秀文章, Deep Learning Tutorial
User: mikoto10032
kaggle,PyTorch implementation of the U-Net for image semantic segmentation with high quality images
User: milesial
kaggle,Open solution to the Home Credit Default Risk challenge :house_with_garden:
Organization: minerva-ml
Home Page: https://www.kaggle.com/c/home-credit-default-risk
kaggle,Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
User: mratsim
Home Page: https://www.kaggle.com/c/planet-understanding-the-amazon-from-space
kaggle,Open solution to the Mapping Challenge :earth_americas:
Organization: neptune-ai
Home Page: https://www.crowdai.org/challenges/mapping-challenge
kaggle,Code for Kaggle and Offline Competitions
User: nyanp
kaggle,🛍 A real-world e-commerce dataset for session-based recommender systems research.
Organization: otto-de
Home Page: https://www.kaggle.com/datasets/otto/recsys-dataset
kaggle,Toxic Comment Classification Challenge
User: pavelostyakov
kaggle,Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
Organization: rgf-team
kaggle,Fast and customizable framework for automatic ML model creation (AutoML)
Organization: sb-ai-lab
Home Page: https://developers.sber.ru/portal/products/lightautoml
kaggle,LAMA - automatic model creation framework
Organization: sberbank-ai-lab
kaggle,A prize winning solution for DFDC challenge
User: selimsef
kaggle,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
User: serengil
Home Page: https://www.youtube.com/watch?v=Z93qE5eb6eg&list=PLsS_1RYmYQQHp_xZObt76dpacY543GrJD&index=3
kaggle,TGS Salt Identification
User: seutao
kaggle,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.
User: tarrysingh
Home Page: https://deepkapha.ai
kaggle,Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
User: the-black-knight-01
Home Page: https://interviewbubble.com
kaggle,Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
Organization: upgini
Home Page: https://upgini.com
kaggle,猫狗大战
User: ypwhs
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
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