🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

Developing delivery time estimation model using Neural Networks

SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.

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

Analysis for the Titanic Kaggle competition.

Perform Hyperparameter tuning on a small Regression problem using TensorFlow 2

This repository contains the LifeExpectancy Prediction Project, a comprehensive data science project aimed at predicting life expectancy based on various health, economic, and social factors. The project includes steps for data preprocessing, exploratory data analysis (EDA), model selection, training, hyperparameter tuning, and model interpretation

Data Science Project - Full Depth analysis AND Prediction Using Decision Tree and Random Forest

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

Automated Machine Learning on Kubernetes

RNN-LSTM: From Applications to Modeling Techniques and Beyond - Systematic Review

Successive Halving and Hyperband in the mlr3 ecosystem

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

EvalML is an AutoML library written in python.

Iterated Racing for Automatic Algorithm Configuration

Black-box optimization framework for R.

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

Predict emotions (happiness, anger, sadness) from WhatsApp chat data using machine learning and deep learning models. Includes text normalization, vectorization (TF-IDF, BoW, Word2Vec, GloVe), and model evaluation.

"oxayavongsa/projects" is a public GitHub repository serving as a diverse AI/ML Project Portfolio. Managed by Outhai Xayavongsa (Ms. Thai), using Python coding and Juptyer notebook.

Additional stoppers for ray tune