FilmAB

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.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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.

? Collection of Kaggle Solutions and Ideas ?

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

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.

Try out deep learning models online on Google Colab