The Best detectron2 Alternatives in 2026

Ultralytics YOLOv5 supports object detection, instance segmentation, classification, training, and export in PyTorch.

This repository implements YOLOv3 variants in PyTorch for real time object detection, training, validation, inference, and export.

Ultralytics supports detection, segmentation, image classification, pose estimation, and tracking across YOLO model versions.

This repository provides segmentation models with pretrained backbones for Keras and TensorFlow Keras.

This repository provides semantic segmentation models with more than 500 pretrained convolutional and transformer backbones.

An open source Python library for drift detection in machine learning systems.

Giskard provides open source evaluation and testing tools for LLM agents.

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

NALP covers Natural Adversarial Language Processing through a dedicated library.

neuropredict evaluates predictive performance using neuroimaging features.

Adala automates data labeling through an autonomous agent framework for organizing labeled datasets.

Cornac provides a framework for comparing multimodal recommender systems and recommendation algorithms.

Open-RAG-Eval evaluates retrieval-augmented generation without requiring golden answers.

nilearn provides Python tools for machine learning and neuroimaging analysis.

pytorch tabular provides a unified framework for deep learning models on tabular data.

Captum explains model behavior and supports interpretability analysis for PyTorch systems.

AutoViz automatically creates visualizations for datasets of different sizes from a single line of code.

PyTorch Frame provides a library for applying deep learning models to tabular data.

A Python package to assess and improve fairness of machine learning models.

WhichLLM tests local language models on a user’s hardware and ranks them using recent benchmarks.

The Featuretools Python library supports automated feature engineering and is published as open source.

tsfresh automatically extracts relevant features from time series data.

Snorkel helps generate training data programmatically through weak supervision.

PyTorch Geometric provides graph neural network tools and libraries for PyTorch projects.