model-training-and-optimization

Here are 5 public repositories matching this topic...

sigdelsanjog / gptmed

pip install gptmed

redis deep-learning pytorch pip deep-learning-algorithms gpt language-model agents casual-inference conversation-ai transformer-architecture llm medical-llm tiny-llm question-answering-model model-training-and-optimization agentic-ai medical-question-answering-llm tiny-language-model

Updated Sep 2, 2026
Python

muddasarsabir / Titanic-Competition-By-Decision-Tree-Classification

Star

Titanic Survival Prediction Using Decision Tree. This project uses a Decision Tree Classifier to predict Titanic passenger survival based on the Kaggle dataset. It covers data preprocessing, feature engineering, and model training with Scikit-learn.

machine-learning scikit-learn python3 kaggle-competition supervised-learning predictive-modeling decision-tree decision-tree-classifier binary-classification data-science-competition categorical-variables numpy-library pandas-library categorical data-science-projects titanic-dataset-predictions model-training-and-evaluation model-training-and-tuning model-training-and-optimization

Updated May 4, 2025
Jupyter Notebook

purebyte-ai / purebyte-train

Star

The training stack for PureByte: from a task definition to a verified GGUF specialist in 25 minutes to an hour on one consumer GPU. Synthetic look-alikes grounded in real bytes, leak checks against the exams, criteria frozen before training, multi-seed runs with controls, and proof that the C++ runtime gives the same answers.

training deep-learning model pytorch mamba byte-level model-training state-space-models training-pipeline model-training-and-evaluation mamba-state-space-models model-training-and-tuning model-training-and-optimization mamba-2 mamba2 model-training-and-inference

Updated Sep 28, 2026
Python

JustaKris / Titanic-Machine-Learning-from-Disaster

Star

A portfolio ML project: Titanic survival prediction system with 85%+ accuracy, ensemble methods, SHAP explainability, Flask REST API, Docker deployment, and comprehensive testing. Production-grade code with type hints, pytest, and CI/CD.

python data-science machine-learning web-application kaggle feature-selection feature-extraction flask-application classification data-analysis feature-engineering predictive-analytics data-pipelines azure-deployment model-deployment ci-cd-pipeline render-deployment model-training-and-optimization

Updated Mar 29, 2026
Jupyter Notebook

Kavinrajan / ML_Model

Star

Python-based Machine Learning classification project demonstrating data processing, model training, model serialization, and application integration using Pandas, scikit-learn, Jupyter Notebook, and uv.

python data-science machine-learning scikit-learn jupyter-notebook pandas classification machine-learning-models uvicorn model-training-and-optimization

Updated May 17, 2026
Jupyter Notebook

Add this topic to your repo

To associate your repository with the model-training-and-optimization topic, visit your repo's landing page and select "manage topics."

Learn more