mdpmix

A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 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.

Machine learning, in numpy

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

Open-source no-code web data extraction platform. Turn websites to APIs & spreadsheets with no-code robots in minutes.

The official GitHub page for the survey paper "A Survey of Large Language Models".

Activiti is a light-weight workflow and Business Process Management (BPM) Platform targeted at business people, developers and system admins. Its core is a super-fast and rock-solid BPMN 2 process engine for Java. It's open-source and distributed under the Apache license. Activiti runs in any Java application, on a server, on a cluster or in the cloud. It integrates perfectly with Spring, it is extremely lightweight and based on simple concepts.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

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.