Weka is open-source machine learning software issued under the GNU General Public License. It runs in Java and is presented as a workbench for data mining, with download, documentation, courses and FAQ resources and datasets available on the project site.
ianarawjo/ChainForge
ChainForge is an open-source visual programming environment for battle-testing prompts to large language models. It supports querying multiple models at once, comparing response quality across prompts, models and model settings, and setting evaluation metrics to visualize results. Built on ReactFlow and Flask, it can be installed locally with pip or tried on the web, where features are limited.
Features
- open-source visual programming environment for battle-testing prompts to LLMs Source: github.com
- Query multiple LLMs at once to test prompt ideas Source: github.com
Links
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0Weka is open-source machine learning software issued under the GNU General Public License. It runs in Java and is presented as a workbench for data mining, with download, documentation, courses and FAQ resources and datasets available on the project site.
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0igraph is a collection of network analysis tools emphasizing efficiency, portability and ease of use. It is open source and free, and can be programmed in R, Python, Mathematica and C/C++. Implementations include the igraph R package, python-igraph, IGraph/M and the igraph C library.
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0Magenta is an open source research project exploring the role of machine learning as a tool in the creative process, focused on art and music. It includes Magenta Studio, a collection of music plugins for Ableton Live, and Magenta RealTime 2, an open model and real-time neural synthesis engine.
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0Jan is an open-source alternative to ChatGPT. It runs open-source AI models locally or connects to cloud models such as GPT and Claude. The download is offered for Mac. A memory feature is listed as coming soon.
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0SimpleBench is a multiple-choice text benchmark for LLMs with over 200 questions covering spatio-temporal reasoning, social intelligence and trick questions. Its report states a non-specialized human baseline of 83.7 percent from a small sample of nine participants.
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Models.dev is an open-source database that lists AI model specifications, pricing and features. It covers models from multiple providers with details such as context length, modalities and open or closed availability.
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