The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Nomadic is an enterprise-grade framework for teams to continuously optimize compound AI systems

This project attempts to forecast the vehicle risk rating for an insurance company. Different data mining applications will be used and compared to see which one is best fit for this dataset.

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

Black-box optimization framework for R.

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Automated Machine Learning on Kubernetes

A general parameter tuning framework for whatever you want.

This is a GYM environment for the PySuperTuxKart game. It is designed for Reinforcement Learning (RL) applications, particularly for educational purposes. The repository also includes examples of using this environment with Stable Baselines 3 (SB3)'s PPO algorithm.

Parkinsons Disease Detection using Machine Learning

Data Science Project - Full Depth analysis AND Prediction Using LogisticRegression and GBM using Balancing techniques like Class_Weight and ADASYN

A series of models using SimplyAnalytics' county data to predict Florida's missing depression statistics.

Automated Machine Learning with scikit-learn

Hyperparameter optimization package of the mlr3 ecosystem

FineTuning LLMs and MLs models

This repository serves as a central hub for my machine learning projects, showcasing a variety of techniques, algorithms, and applications. It demonstrates my expertise in machine learning and provides a resource for others to learn and explore.

Life Expectancy Prediction using Random Forest Regressor with Cross Validation and Hyperparameter Tuning

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.