Popular GitHub Repositories for Verified Errors

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

AI-powered Jupyter Notebook — use local AI to generate and edit code cells, automatically fix errors, and chat with your data

The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no crazy configs, no giant monorepo—but scores 65% on SWE-bench verified!

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

DeepConsensus uses gap-aware sequence transformers to correct errors in Pacific Biosciences (PacBio) Circular Consensus Sequencing (CCS) data.

Official Pytorch Implementation for "DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion" (AAAI 2024)

API 200 is an open source API gateway to simplify 3rd-party integrations. Import endpoints, set up caching, retries, and mocks. Access all services via one URL. Monitor logs, track errors, and get alerts on API incidents.

Hallucinations (Confabulations) Document-Based Benchmark for RAG. Includes human-verified questions and answers.

? Keeps ChatGPT sessions fresh to avoid network errors + Cloudflare checks

AI powered cli coding agent that monitors your dev/test server and fixes errors and adds features

[ICRA2023] CoAlign: Robust Collaborative 3D Object Detection in Presence of Pose Errors

The definitive Vibe Coder's sanity check MCP server: Prevent cascading errors in AI workflows by implementing strategic pattern interrupts. Uses tool call "Vibe Check" with LearnLM 1.5 Pro (Gemini API), fine-tuned for pedagogy and metacognition to enhance complex workflow strategy, and prevents tunnel vision errors.

Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).

An intelligent CLI tool that intercepts terminal errors and provides instant, context-aware solutions using LLM's. Transform natural language into terminal commands and never get stuck on cryptic error messages again! Currently in early development.

Comprehensive guidelines for AI assistants working with Nuxt UI v3. Prevents common v2→v3 migration errors and provides best practices for modern Nuxt UI development.

[FSE-2024] Towards AI-Assisted Synthesis of Verified Dafny Methods

The Generative AI Newsletter Application sample is a ready-to-use serverless solution designed to allow users to create rich newsletters automatically with content summaries that are AI-generated.

CLAIRify: Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting

Reliable and Efficient Semantic Prompt Caching with vCache

Developed a sophisticated machine learning model capable of generating diverse interview questions aligned with specific topics, ensuring depth of conversation. Integrated advanced Natural Language Processing (NLP) algorithms to analyse spoken responses, identifying grammatical errors & offering accurate corrections after the interview.