Tracking-ML-model-MLflow

100 Days of ML Coding

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

A collection of algorithms and data structures

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 powerful framework for faster, easier, and more efficient project development.

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

? A Graph Visualization Framework in JavaScript.

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.

Full-featured reactive state management without the boilerplate

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG