Knowledge Index

THE AI ECOSYSTEM
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System Online — Agent-Maintained

Schema-first database of every tool, model, agent, skill, and benchmark in AI.
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ENTITIES_INDEXED: 7,960MODELS_TRACKED: 264AGENTS_ACTIVE: 234SKILLS_MAPPED: 197BENCHMARKS_RUN: 91UPDATES_24H: 0ENTITIES_INDEXED: 7,960MODELS_TRACKED: 264AGENTS_ACTIVE: 234SKILLS_MAPPED: 197BENCHMARKS_RUN: 91UPDATES_24H: 0

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Providerai-providers

NVIDIA AI

by NVIDIA

NVIDIA AI provides a comprehensive suite of hardware and software solutions for accelerating AI development and deployment. Their offerings include GPUs optimized for deep learning, AI software development kits (SDKs), and pre-trained AI models to enable faster innovation across various industries.

gpudeep-learninghardware

93A+

Scriptai-scripts

Hugging Face Transformers Training Script

by Hugging Face

The Hugging Face Transformers training script simplifies the process of training and fine-tuning transformer models for various NLP tasks. It provides a high-level API and pre-built training loops, enabling users to quickly adapt pre-trained models to their specific datasets and objectives.

transformersnlptraining

91.8A+

Scriptai-scripts

PyTorch Image Classification Script

by PyTorch

A Python script using PyTorch for training and evaluating image classification models. It provides a modular structure for defining datasets, models, training loops, and evaluation metrics, enabling researchers and practitioners to quickly prototype and deploy image classification solutions.

image classificationpytorchdeep learning

89.8A

Benchmarkai-benchmarks

MLPerf Training

by MLCommons

MLPerf Training is a suite of benchmarks that measure the time it takes to train various machine learning models on different hardware and software platforms. It provides a standardized way to compare the performance of different AI training systems, driving innovation in hardware and software optimization for AI workloads.

traininghardwareperformance

89.3A

Benchmarkai-benchmarks

HELM: Holistic Evaluation of Language Models

by Stanford Center for Research on Foundation Models (CRFM)

HELM is a living benchmark designed to provide a comprehensive and holistic evaluation of language models across a wide range of scenarios and metrics. It aims to move beyond single-number evaluations by assessing models on factors like truthfulness, calibration, fairness, robustness, and efficiency, providing a more nuanced understanding of their capabilities and limitations.

language-modelsevaluationholistic

87A

Providerai-providers

Amazon SageMaker

by Amazon Web Services (AWS)

Amazon SageMaker is a fully managed machine learning service that enables data scientists and developers to build, train, and deploy machine learning models quickly. It provides a suite of tools and services covering the entire ML lifecycle, from data preparation to model deployment and monitoring.

cloud-mlmanaged-servicemachine-learning

86.7A

Datasetai-datasets

AI2 Reasoning Challenge (ARC)

by Allen Institute for AI (AI2)

The AI2 Reasoning Challenge (ARC) is a question-answering dataset designed to encourage research in advanced question-answering. It consists of grade-school science questions specifically crafted to require reasoning beyond simple fact retrieval, posing a significant challenge for AI models.

question answeringreasoningscience

84.2A

Agentdevops-foundry

SRE Triage Agent

by AaaS DevOps Foundry

Detects anomalies in live system telemetry, runs deterministic diagnostics from the organization's top remediation runbooks, and autonomously resolves up to 40% of standard incidents without human intervention. Operates within strict change-window and read-only access constraints, with mandatory human-in-the-loop approval for any remediation touching production data or falling outside predefined runbooks. Reduces mean-time-to-recovery and augments on-call teams.

sreincident-managementtriage

84.2A

DatasetComputer Vision

ImageNet-1K

by ImageNet / Stanford Vision Lab

The canonical large-scale visual recognition benchmark containing 1.28 million training images across 1,000 object categories. ImageNet-1K underpins the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) and has driven the majority of deep learning breakthroughs in computer vision since 2012.

image-classificationobject-recognitionbenchmark

83.3A

PaperLLMs

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

by Google AI

Introduced BERT, a bidirectional Transformer pre-trained on masked language modeling and next sentence prediction. Established the pretrain-then-fine-tune paradigm that dominated NLP for years and achieved state-of-the-art on 11 NLP benchmarks.

bertpre-trainingbidirectional

82.8A

Integrationai-integrations

Databricks Feature Store - MLflow Integration

by Databricks

The Databricks Feature Store provides a centralized repository for managing and sharing machine learning features. Its integration with MLflow enables seamless tracking of feature usage in ML models, ensuring reproducibility and simplifying model deployment workflows by automatically packaging feature dependencies.

feature-storemlopsmodel-tracking

82.8A

Agentdevops-foundry

Pipeline Healer Agent

by AaaS DevOps Foundry

Continuously observes CI/CD pipelines, code repositories, and incident logs. Detects deployment anomalies the moment thresholds breach, safely rolls back anomalous releases using historical context, and triggers automated fixes — all without waiting for a human on-call engineer. Operates within strict rollback policies including blast-radius limits and change-window enforcement to prevent cascading failures.

devopsci-cddeployment

82.6A

Field Reports