apidna.ai
APIDNA provides machine-learning models, research, training resources, or evaluation tools.
State of LLM Apps 2023 · Streamlit
State of LLM Apps 2023 · Streamlit provides machine-learning models, research, training resources, or evaluation tools.
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APIDNA provides machine-learning models, research, training resources, or evaluation tools.
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Odysseus is a self-hosted AI workspace for running language models on one's own hardware. It offers chat, autonomous agents, tools and MCP connections, model serving, an email assistant, deep research, model comparison and persistent memory. The project is described as local-first and privacy-first, with no telemetry.
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0A market intelligence site for AI compute that tracks live GPU cloud and LLM API pricing, performance benchmarks and market data across AI infrastructure providers. It publishes comparisons of GPU cloud pricing by provider and of LLM performance versus cost, including articles on Azure, AWS, Google Cloud, CoreWeave and Lambda GPU offerings.
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This is the official project page for the ICML 2024 research paper 'Improving Factuality and Reasoning in Language Models through Multiagent Debate' by MIT and Google Brain researchers. The paper introduces a multi-round debate approach where multiple language model instances propose answers, critique each other, and debate to improve reasoning and factual accuracy while reducing hallucinations.
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Apache cTAKES is an open-source project developed under the Apache Software Foundation. Its documentation and project resources are hosted on a GitHub repository, and it is part of the broader Apache developer and user community.
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0OpenCV is an open source computer vision library that contains over 2500 algorithms and supports model execution for machine learning and artificial intelligence. It was designed to be cross-platform, written in C with C++ and wrappers for Python and Java, and runs on desktop and mobile systems. A GPU module implemented with CUDA provides acceleration for part of the library.
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odysseus-dev.github.io
Odysseus is a self-hosted AI workspace for running language models on one's own hardware. It offers chat, autonomous agents, tools and MCP connections, model serving, an email assistant, deep research, model comparison and persistent memory. The project is described as local-first and privacy-first, with no telemetry.
deploybase.ai
A market intelligence site for AI compute that tracks live GPU cloud and LLM API pricing, performance benchmarks and market data across AI infrastructure providers. It publishes comparisons of GPU cloud pricing by provider and of LLM performance versus cost, including articles on Azure, AWS, Google Cloud, CoreWeave and Lambda GPU offerings.
composable-models.github.io
This is the official project page for the ICML 2024 research paper 'Improving Factuality and Reasoning in Language Models through Multiagent Debate' by MIT and Google Brain researchers. The paper introduces a multi-round debate approach where multiple language model instances propose answers, critique each other, and debate to improve reasoning and factual accuracy while reducing hallucinations.
ctakes.apache.org
Apache cTAKES is an open-source project developed under the Apache Software Foundation. Its documentation and project resources are hosted on a GitHub repository, and it is part of the broader Apache developer and user community.
opencv.org
OpenCV is an open source computer vision library that contains over 2500 algorithms and supports model execution for machine learning and artificial intelligence. It was designed to be cross-platform, written in C with C++ and wrappers for Python and Java, and runs on desktop and mobile systems. A GPU module implemented with CUDA provides acceleration for part of the library.