There are 77 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.
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.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
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
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.
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 for CrowdFlower Product Search Results Relevance Competition on Kaggle.
1st place solution
🏅 Collection of Kaggle Solutions and Ideas 🏅
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
深度学习在推荐系统中的应用及论文小结。
Kaggle:Quora Question Pairs, 4th/3396 (https://www.kaggle.com/c/quora-question-pairs)
Code for Kaggle 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...).
HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
Kaggle datascience bowl 2017
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.
A prize winning solution for DFDC challenge
DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.
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.
The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6
3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
Open solution to the Home Credit Default Risk challenge :house_with_garden:
Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks
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.
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.