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Cordum is an action firewall for AI agents that enforces policy and requires human approval for risky tool calls, shell commands, workflows and production changes, with auditable evidence of actions taken.
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The Core torch7 demos repository is an open-source GitHub project that provides demos and tutorials for the Torch7 machine learning framework. It includes installation guides, Torch7 tutorials, and tutorials for third-party Torch7 packages.
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Cornac is an open-source comparative framework for multimodal recommender systems, maintained by PreferredAI and hosted on GitHub. It provides tools for developing and evaluating recommender system models that process multiple types of input data.
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CorpusLoaders is a Julia package that provides a variety of loaders for different natural language processing (NLP) corpora, maintained by JuliaText and hosted on GitHub. It simplifies accessing and loading diverse NLP datasets for research and development use cases.
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Neural networks, regression and feature learning in Clojure.
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Cortex Memory is a production-ready cognitive foundation for autonomous systems such as Embodied-AI and OpenClaw. It provides memory management functionality including extraction, search, and automated optimization, and includes SKILL, CLI, API, MCP, and an insights dashboard out-of-the-box.
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Unified interface for constructing and managing workflows on different workflow engines.
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Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai.
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Teaching LLMs memory management for unbounded context [[demo page]](https://memgpt.ai/) [[arxiv]](https://arxiv.org/abs/2310.08560).
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Open-source project that uses AI to create, edit, transform, or animate video content.
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CrewAI is an open-source Python framework for orchestrating role-playing, autonomous AI agents. It provides high-level abstractions and low-level APIs for building multi-agent workflows, combining autonomous collaboration through Crews with event-driven control through Flows.
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Framework for orchestrating role-playing, autonomous AI agents.
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FANN (Fast Artificial Neural Network) binding.
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ctop is a GitHub repository maintained by aakashadesara. It is an interactive process viewer for AI coding agents, with documentation covering its features, installation process, keyboard shortcuts, and pinned sessions.
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Fast inference engine for Transformer models in C++.
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cunn is a GitHub repository under the Torch organization that provides resources for the cunn project. The repository includes documentation for installation, usage, running unit tests, and GPU training concepts.
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Curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search.
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cutorch is a CUDA backend for Torch7. It provides a torch.CudaTensor type that behaves like torch.FloatTensor with operations on the GPU, along with other GPU tensor types limited to copying, conversion, and certain indexing and shaping operations. The cutorch module offers functions for setting the GPU, reading device properties and memory usage, and managing streams and seeds.
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Cybertron is a package in pure Go built upon spaGO that gives Go developers an interface for using NLP technologies with pre-trained Transformer models from the HuggingFace models repository. It is primarily aimed at running inference, with the possibility of adding fine-tuning in the future, and supports models including BERT, ELECTRA, BART, PEGASUS and MarianMT.
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Cynative is an open-source project offering security agents for cloud, code, and runtime environments. It includes 45 built-in agents that audit AWS, GCP, Azure, Kubernetes, GitHub, and GitLab for issues including privilege escalation, public exposure, and supply chain vulnerabilities, and supports creating custom agents in a single markdown file with live read-only infrastructure access.
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d3py is a plotting library for Python based on D3. It builds on d3.js and the pandas DataFrame module to plot data from the command line or simple scripts into a browser window. Its README describes the code as an experiment, notes that it is not actively developed, and points to vincent as an alternative.
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Julia package for Regularized Discriminant Analysis.
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Dagster is an open source, cloud-native data pipeline orchestrator for the data development lifecycle, with integrated lineage and observability. Users declare data assets as Python functions, and Dagster runs them and keeps assets up to date. It is designed for developing and maintaining data assets such as tables, data sets, machine learning models, and reports.
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A GitHub repository from dair-ai containing explanations of key concepts in machine learning. The README lists papers with dates and descriptions, including the Transformer, Elmo, Marian MT, GPT, BERT and Transformer XL.