Popular GitHub Repositories for Model Evaluation

an MLOps/LLMOps platform

Valor is a lightweight, numpy-based library designed for fast and seamless evaluation of machine learning models.

Benchmark evaluating LLMs on their ability to create and resist disinformation. Includes comprehensive testing across major models (Claude, GPT-4, Gemini, Llama, etc.) with standardized evaluation metrics.

Classifying badminton strokes based on accelorometer and gyroscope sensor data attached to player's wrist. An end-to-end Machine Learning project, from data collection and preprocessing to final model evaluation.

Solve complex real-life problems with the simplicity of Keras

Embark on the "Reinforcement Learning from Human Feedback" course and align Large Language Models (LLMs) with human values.

[ICLR 2024] Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain

Detect hate speech in social media comments using deep learning.

Predict next number in a sequence using a simple ANN. Modularized code with classes for data preparation, neural network architecture, and training.

Successfully developed a language detection transformer model that can accurately recognize the language in which any given text is written.

End-to-end machine learning project for diamond price prediction using Lasso Regression with 93% accuracy.

Luna ML - ML Leaderboard for your team with automatic model evaluation

Explore credit card approval prediction through data analysis and machine learning. Preprocess data, train logistic regression models, and optimize hyperparameters. Learn data preprocessing, feature engineering, model training, and evaluation. Dive into the world of machine learning with Python and popular libraries.

This repository contains a Jupyter Notebook demonstrating a practical example of data science and machine learning for heart disease classification.

Athlete Injury Risk Analyzer predicts injury risks using symmetry metrics (force, impulse, torque). It classifies athletes into risk categories with machine learning models and offers a user-friendly Streamlit app for data upload and predictions.

This GitHub repository contains a comprehensive project demonstrating image classification using TensorFlow and Keras on the CIFAR-10 dataset. The project covers various aspects of the machine learning pipeline, including data preprocessing, model building, training, evaluation, and visualization.

This GitHub repository contains a comprehensive project demonstrating image classification using TensorFlow and Keras on the CIFAR-10 dataset. The project covers various aspects of the machine learning pipeline, including data preprocessing, model building, training, evaluation, and visualization.

This repository contains a deep learning project for CIFAR-10 image classification using the ResNet50 pre-trained model. The project includes data preprocessing, model training, evaluation, and visualization of results. Achieved high accuracy by fine-tuning the model and optimizing hyperparameters.

This repo contains a study on performance of LLMs on STS(Semantic Textual Similarity) Data.

Classify mushrooms as ? edible or poisonous ? using machine learning ?. This project includes data preprocessing, training various models (Logistic Regression, Decision Tree, SVM, etc.) ??, and evaluating performance with metrics and visualizations ?. Perfect for learning classification and model comparison.