awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
Back to jetrunner/supericl

Open-source alternatives to SuperICL

15 open-source projects similar to jetrunner/supericl, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best SuperICL alternative.

  • arize-ai/phoenixArize-ai avatar

    Arize-ai/phoenix

    8,605View on GitHub↗

    Arize Phoenix is an LLM observability platform and evaluation framework designed to capture execution traces and monitor large language model applications. It serves as a prompt management system for versioning and testing templates, and as a self-hosted AI operations infrastructure for managing telemetry and experiments. The platform differentiates itself through a specialized embedding visualization tool used to detect data drift and optimize vector search. It provides a comprehensive evaluation suite that utilizes judge-based evaluators and ground-truth datasets to score model outputs, and

    Jupyter Notebookagentsai-monitoringai-observability
    View on GitHub↗8,605
  • bizarrecake/fmr.aiB

    BizarreCake/fmr.ai

    0View on GitHub↗
    View on GitHub↗0
  • clarkkev/attention-analysisC

    clarkkev/attention-analysis

    0View on GitHub↗
    View on GitHub↗0
  • eleutherai/pythiaEleutherAI avatar

    EleutherAI/pythia

    2,827View on GitHub↗

    This repository is for EleutherAI's project Pythia which combines interpretability analysis and scaling laws to understand how knowledge develops and evolves during training in autoregressive transformers. For detailed info on the models, their training, and their properties, please see our…

    Jupyter Notebook
    View on GitHub↗2,827
  • floomai/floomFloomAI avatar

    FloomAI/Floom

    45View on GitHub↗

    🌊 Floom, "The K8s for AI", orchestrates & executes Generative AI pipelines, Empowering Developers and DevOps to focus on what matters.

    C#
    View on GitHub↗45

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Find more with AI search
  • floriandietz/comgraF

    FlorianDietz/comgra

    0View on GitHub↗
    View on GitHub↗0
  • inseq-team/inseqI

    inseq-team/inseq

    0View on GitHub↗
    View on GitHub↗0
  • jalammar/eccojalammar avatar

    jalammar/ecco

    2,101View on GitHub↗

    Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

    Jupyter Notebookexplorableslanguage-modelsnatural-language-processing
    View on GitHub↗2,101
  • kmeng01/romeK

    kmeng01/rome

    0View on GitHub↗
    View on GitHub↗0
  • meetkai/functionaryMeetKai avatar

    MeetKai/functionary

    1,595View on GitHub↗

    Chat language model that can use tools and interpret the results

    Pythonagentsaiai-agents
    View on GitHub↗1,595
  • mwatkins1970/spellgptM

    mwatkins1970/SpellGPT

    0View on GitHub↗
    View on GitHub↗0
  • neelnanda-io/transformerlensN

    neelnanda-io/TransformerLens

    0View on GitHub↗
    View on GitHub↗0
  • openai/automated-interpretabilityO

    openai/automated-interpretability

    0View on GitHub↗
    View on GitHub↗0
  • samuela/git-re-basinS

    samuela/git-re-basin

    0View on GitHub↗
    View on GitHub↗0
  • vanna-ai/vannavanna-ai avatar

    vanna-ai/vanna

    22,707View on GitHub↗

    Vanna is a Python framework designed to build conversational interfaces that translate natural language into executable database queries. It functions as an enterprise-grade toolkit that connects language models to relational databases, allowing users to retrieve information through conversational prompts rather than manual code. The system maintains context across interactions by utilizing vector databases to store historical query patterns and schema metadata. The framework distinguishes itself through a focus on security and schema-aware generation. It incorporates granular access control,

    Pythonagentaidata-visualization
    View on GitHub↗22,707