Popular GitHub Repositories for Walk Forward Validation

structured outputs for llms

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Evidently is ??an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

? Open-Source Evaluation & Testing library for LLM Agents

? Open-Source Evaluation & Testing for AI & LLM systems

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

FFCV: Fast Forward Computer Vision (and other ML workloads!)

A distributed graph deep learning framework.

MapAnything: Universal Feed-Forward Metric 3D Reconstruction

A high-level machine learning and deep learning library for the PHP language.

Zero-boilerplate REST API framework for PHP 8+. Auto-generates routes, docs, validation.

Automatically find issues in image datasets and practice data-centric computer vision.

Perception toolkit for sim2real training and validation in Unity

Claude Code Skill for browser automation with Playwright. Model-invoked - Claude autonomously writes and executes custom automation for testing and validation.

This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception

DiffusionRenderer (Cosmos): Neural Inverse and Forward Rendering with Video Diffusion Models

? The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)