Machine Learning in MatLab/Octave is a collection of MatLab/Octave implementations of popular machine learning algorithms, including code examples and explanations of the associated mathematics. It covers supervised learning tasks such as regression and classification as well as unsupervised learning.
QSMM is a framework for learning finite automatons that perform goal-directed interaction with entities exhibiting deterministic or stochastic behavior. It implements the rudiments of a toolchain for working with probabilistic assembler programs, and development focus shifted to adaptive parsing and learning context-free grammars by template. It includes atd-parser and abu-parser tools.
uithub provides GitHub repository context for use with LLMs. Changing one letter in a GitHub URL, from G to U, returns full repository context. The site also offers an API for obtaining LLM context and lists example uses such as code verification, code search and changelog tracking.
ToolList.ai is a community-ranked directory for discovering, launching and comparing AI tools across many categories. It lists new AI tool launches daily and includes forum discussions. Paid plans offer public, searchable product listings with promotion across the site.
MMDeploy is documented at version 1.3.1 and covers getting started, converting, running, evaluating and quantizing models, building from source or Docker image, and SDK usage. Its backend support pages describe ncnn, ONNX Runtime, OpenVINO, PPLNN, SNPE, TensorRT, TorchScript, RKNN, TVM and Core ML, and its codebase support covers several OpenMMLab projects.
Credyt is real-time monetization infrastructure for AI. It is intended to let builders observe spend per API call, model and customer, enforce budget limits before usage is authorized, and bill customers across usage-based, subscription, hybrid, credit and token pricing models. The team cites backgrounds at Visa, Checkout.com, TrueLayer and SumUp.
Kadoa is described as a web data layer for finance. Its AI agents build, monitor, and maintain web data pipelines that produce verified datasets for investment teams and AI agents, and it offers monitors, pipelines, and datasets.
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QSMM is a framework for learning finite automatons that perform goal-directed interaction with entities exhibiting deterministic or stochastic behavior. It implements the rudiments of a toolchain for working with probabilistic assembler programs, and development focus shifted to adaptive parsing and learning context-free grammars by template. It includes atd-parser and abu-parser tools.
uithub provides GitHub repository context for use with LLMs. Changing one letter in a GitHub URL, from G to U, returns full repository context. The site also offers an API for obtaining LLM context and lists example uses such as code verification, code search and changelog tracking.
ToolList.ai is a community-ranked directory for discovering, launching and comparing AI tools across many categories. It lists new AI tool launches daily and includes forum discussions. Paid plans offer public, searchable product listings with promotion across the site.
MMDeploy is documented at version 1.3.1 and covers getting started, converting, running, evaluating and quantizing models, building from source or Docker image, and SDK usage. Its backend support pages describe ncnn, ONNX Runtime, OpenVINO, PPLNN, SNPE, TensorRT, TorchScript, RKNN, TVM and Core ML, and its codebase support covers several OpenMMLab projects.
Credyt is real-time monetization infrastructure for AI. It is intended to let builders observe spend per API call, model and customer, enforce budget limits before usage is authorized, and bill customers across usage-based, subscription, hybrid, credit and token pricing models. The team cites backgrounds at Visa, Checkout.com, TrueLayer and SumUp.
Kadoa is described as a web data layer for finance. Its AI agents build, monitor, and maintain web data pipelines that produce verified datasets for investment teams and AI agents, and it offers monitors, pipelines, and datasets.
