Distributed ML Training and Fine-Tuning on Kubernetes

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Projeto de Regressão Linear utilizando o XGBRegressor, com base no dataset Flight Price Prediction de Shubham Bathwal e disponibilizado no Kaggle

ML projects using a variety of different methods for solving classification problems

📘 The MLOps stack component for experiment tracking

Second project for Data Science Bootcamp at neuefische. Perform EDA, data cleaning and machine learning modelling with kickstarter dataset the was provided

Fraudulent Activities - anomaly detection

📝 Examples of how to use Neptune for different use cases and with various MLOps tools

Standardized Serverless ML Inference Platform on Kubernetes

"oxayavongsa/projects" is a public GitHub repository serving as a diverse AI/ML Project Portfolio. Using Python coding and Juptyer notebook for multiple methodologies to model statistical algorithms.

Evaluating Hyperopt, Optuna, and TunedThresholdClassifierCV

Bank Credit Card Customer churn prediction

Machine Learning Operator & Controller for Kubernetes

Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Scalable Python DS & ML, in an API compatible & lightning fast way.

An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more

This repository shows the source code for detection of COVID-19 in medical images of the lung with high precision. Also, this code identifies the areas of the lung with lesions caused by the disease and quantify them in relation to the total lung parenchyma.

Predicting complications of myocardial infarction using tree-based methods in Python

A full pipeline AutoML tool for tabular data

MIT PRIMES Research Project 2024