There are 94 repositories under kaggle topic.
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.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
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.
深度学习入门教程, 优秀文章, Deep Learning Tutorial
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.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
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
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.
🏅 Collection of Kaggle Solutions and Ideas 🏅
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
1st place solution
1st Place Solution for CrowdFlower Product Search Results Relevance Competition on Kaggle.
A searchable compilation of Kaggle past solutions
MLBox is a powerful Automated Machine Learning python library.
PyTorch extensions for fast R&D prototyping and Kaggle farming
fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.
LAMA - automatic model creation framework
深度学习在推荐系统中的应用及论文小结。
Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
Kaggle:Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)
Code for Kaggle Data Science Competitions
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
Kaggle datascience bowl 2017
A prize winning solution for DFDC challenge
猫狗大战
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
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.
Fast and customizable framework for automatic ML model creation (AutoML)
The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6
3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.