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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

bcai_kaggle_champs

Bosch solution to CHAMPS Kaggle competition

benchmarking-gnns

Repository for benchmarking graph neural networks

deepctr-pytorch

Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.

dstl-satellite-imagery-feature-detection

Place 18 solution for the Dstl feature detection kaggle challenge https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection

faiss_cpu_gpu

finrl-library

A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star.

gnn_review

GNN综述阅读报告

knowledgegraphembedding

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.

noaa-runtime

Code execution for the NOAA MagNet: Model the Geomagnetic Field competition.

tencent2020_rank1st

The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.

wechatbot

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow