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Final project from "Machine Learning at Scale" (W261) in UC Berkeley's Data Science Masters program
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
A game theoretic approach to explain the output of any machine learning model.
? 实时 零代码、全功能、强安全 ORM 库 ? 后端接口和文档零代码,前端(客户端) 定制返回 JSON 的数据和结构 ? Real-Time coding-free, powerful and secure ORM ? providing APIs and Docs without coding by Backend, and the returned JSON of API can be customized by Frontend(Client) users
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.
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.
Python SQL Parser and Transpiler
Simple and Distributed Machine Learning
Code examples and resources for DBRX, a large language model developed by Databricks
Natural Gradient Boosting for Probabilistic Prediction
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.