model-testing

Abstract Constraint Transformation

Implements an entire machine learning pipeline to train and evaluate a Random Forest Classifier on labeled gait data for walking. Data generated during the experiment has led to helpful insights in to the problem domain.

This project promulgates an automated end-to-end ML pipeline that trains a biLSTM network for sentiment analysis, experiment tracking, benchmarking by model testing and evaluation, model transitioning to production followed by deployment into cloud instance via CI/CD

Grok 场景路由交付合约 · 模型安全研究

📝🔍🖼️ A deep learning application for retrieving images by searching with text.

SDK for Inquire model test database API, by Sevan

Simple DB Fixtures for Sails.js v1 (fake data for testing).

LLM drift detector — know within 5 min when GPT-4o, Claude, or Gemini silently changes behaviour. Open source, self-hostable.

Successfully developed a machine learning model which can accurately predict up to 100% accuracy whether a credit card application of a given applicant would be approved or not, based on several demographic features such as applicant age, total income, marital status, total years of work experience, etc.

This repository contains a collection of various Machine Learning and Deep Learning projects for free download. These projects are hosted on Engineers Planet.

mask rcnn training with coco-like dataset. You can use for trainnig your own coco.json (polygon) dataset in Google Colab.

A production-quality, self-hostable platform for running reproducible AI model audits using the SimpleAudit engine (Target → Auditor → Judge).

Lightweight evaluation toolkit for small local language models.

A pre-trained ML sentiment detection model using TensorFlow Object Detection API

The main objective is to understand the relationship between diffeent variable and testeing many Regression model and choosing the efficent one them predincting new points

浏览器本地 AI 模型可用性检测工具，支持 OpenAI 兼容接口、Anthropic 与 Gemini。 Browser-local model availability checker.