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maybeee18's Projects

mit-deep-learning icon mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml icon ml

Foundations of Machine Learning Course Materials.

ml-1 icon ml-1

Codes related to various ML Hackathons

ml-coursera-python-assignments icon ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

ml-fairness-framework icon ml-fairness-framework

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

ml-foundations icon ml-foundations

Machine Learning Foundations: Algebra, Calculus, Statistics & Computer Science

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-pipeline icon ml-pipeline

Using Kafka-Python to illustrate a ML production pipeline

ml-projects-1 icon ml-projects-1

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

ml-surveys icon ml-surveys

📋 Survey papers summarizing advances in machine learning.

ml-youtube-courses icon ml-youtube-courses

A repository to index and organize the latest machine learning courses found on YouTube.

mleap icon mleap

MLeap: Deploy Spark Pipelines to Production

mlfinlab icon mlfinlab

MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

mlflow icon mlflow

Open source platform for the machine learning lifecycle

mlflow-talk icon mlflow-talk

End to End example integrating MLFlow and Seldon Core

mlflow-workshop-part-1 icon mlflow-workshop-part-1

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

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