Open Machine Learning Course
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Updated
May 27, 2024 - Python
Open Machine Learning Course
Vowpal wabbit java wrapper and a friendly API for it
Spark Parameter Optimization and Tuning
Fast Python Vowpal Wabbit wrapper
Experimental new Python bindings for the VowpalWabbit library
This is my record under Microsoft Reinforcement Learning Open Source Fest. (这是我的"微软强化学习开源节"活动记录)
My solutions to assignments and competitions from Open Machine Learning Course: https://mlcourse.ai
Multiclass and multilabel datasets in Vowpal Wabbit format
Learning to predict taxi fares in the online setting. Intention of the project was to compare the performance of online vs offline machine learning algorithms in terms of accuracy, efficiency and speed.
Extweme Wabbit implements Probabilistic Label Tree (PLT) algorithm for extreme multi-label classification in Vowpal Wabbit
Open Machine Learning Course https://mlcourse.ai
The Capstone Project of the Machine Learning and Data Analysis Specialization by Moscow Institute of Physics and Technology on Coursera
Performance testing harness and visualizer for VowpalWabbit
Python implementation of multi-armed bandit using epsilon-greedy exploration and reward-average sampling estimation
Vowpal Wabbit wrapper for Click-Through Rate (CTR)
OCaml bindings to vowpal wabbit
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