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

A comprehensive project for sentiment analysis of tweets using various NLP techniques and machine learning models.

This repository is about a trained Machine Learning model which predicts Whether the Heart Disease is present or not by considering few factors. This ML model is slected by considering different accuracies of various trained ML models.

Distributed ML Training and Fine-Tuning on Kubernetes

Text classification model - Bs.c degree final project

This project uses machine learning to predict diabetes and provides explanations through SHAP and PCA, displayed in an intuitive user interface.

This project involves developing a machine learning model to predict user preferences in chatbot conversations, using a dataset of head-to-head responses from various large language models. The goal is to enhance chatbot-human interactions by aligning chatbot responses more closely with human preferences.

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

Standardized Serverless ML Inference Platform on Kubernetes

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

Time series forecasting with scikit-learn models

As the name suggests, this application helps banks decide whether a loan should be sanctioned by assessing various factors from the borrower's profile.

An application that allow the user to log in (and access to all his data), and connect to external distributors, in order to get the coffee generated by a Machine Learning algorithm

Final project for AC209A: Data Science 1 @ Harvard University. This project aims to understand how different factors affect whether a person develops dementia by utilizing various ML models to predict diagnosis outcomes.

Predicting bank churn rates with machine learning models (decision trees, random forest, & xgboost)

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

Machine Learning Operator & Controller for Kubernetes

XGBoost Predictive Model for TikTok's Claim Classification: EDA, Hypothesis Testing, Logistic Regression, Tree-Based Models

📘 The MLOps stack component for experiment tracking

Predicted consumer activity type for the NCAA Women’s Basketball Tournament