Search Results for "can=" - Page 46
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Showing 4841 open source projects for "can="
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Remarshal
Convert between CBOR, JSON, MessagePack, TOML, and YAML
Convert between CBOR, JSON, MessagePack, TOML, and YAML. When installed, provides the command-line command remarshal as well as the short commands {cbor,json,msgpack,toml,yaml}2{cbor,json,msgpack,toml,yaml}. You can perform format conversion, reformatting, and error detection using these commands. CBOR, MessagePack, and YAML with binary fields cannot be converted to JSON or TOML. Binary fields are converted between CBOR, MessagePack, and YAML. -
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spacy-llm
Integrating LLMs into structured NLP pipelines
Large Language Models (LLMs) feature powerful natural language understanding capabilities. With only a few (and sometimes no) examples, an LLM can be prompted to perform custom NLP tasks such as text categorization, named entity recognition, coreference resolution, information extraction and more. This package integrates Large Language Models (LLMs) into spaCy, featuring a modular system for fast prototyping and prompting, and turning unstructured responses into robust outputs for various NLP tasks, no training data required. -
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Python LSP Server
Fork of the python-language-server project
...The base language server requires Jedi to provide Completions, Definitions, Hover, References, Signature Help, and Symbols. Like all language servers, the configuration can be passed from the client that talks to this server (i.e. your editor/IDE or another tool that has the same purpose). The details of how this is done depend on the editor or plugin that you are using to communicate with python-lsp-server. The configuration options are available at that level are documented in CONFIGURATION.md. Overall configuration is computed first from user configuration (in home directory), overridden by configuration passed in by the language client, and then overridden by configuration discovered in the workspace. -
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Swirl
Swirl queries any number of data sources with APIs
Swirl queries any number of data sources with APIs and uses spaCy and NLTK to re-rank the unified results without extracting and indexing anything! Includes zero-code configs for Apache Solr, ChatGPT, Elastic Search, OpenSearch, PostgreSQL, Google BigQuery, RequestsGet, Google PSE, NLResearch.com, Miro & more! SWIRL adapts and distributes queries to anything with a search API - search engines, databases, noSQL engines, cloud/SaaS services etc - and uses AI (Large Language Models) to re-rank... -
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TorchMetrics
Machine learning metrics for distributed, scalable PyTorch application
TorchMetrics is a collection of 80+ PyTorch metrics implementations and an easy-to-use API to create custom metrics. Your data will always be placed on the same device as your metrics. You can log Metric objects directly in Lightning to reduce even more boilerplate. The module-based metrics contain internal metric states (similar to the parameters of the PyTorch module) that automate accumulation and synchronization across devices! Automatic accumulation over multiple batches. Automatic synchronization between multiple devices. ... -
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Mezzanine
CMS framework for Django
Mezzanine is a powerful open source content management platform built using the Django framework. In many ways it is like many other content management tools, offering an intuitive interface for managing all of your content. But Mezzanine is different in that it provides most of its functionality by default. While other platforms rely heavily on modules or reusable applications, Mezzanine comes ready with all the functionality you need, making it the more efficient choice. Mezzanine has a... -
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Python Fire
Automatically generate CLIs from absolutely any Python object
Python Fire is a library that automatically generates command line interfaces (CLIs) from absolutely any Python object. It’s a really simple and easy way to create CLI in Python, and can also enable you to explore existing code or turn other people’s code into a CLI. Python Fire lets you call Fire on any Python object: be it functions, classes, objects, modules, lists-- you name it! It will help you develop as well as debug Python code, and make transitioning between Bash and Python a whole lot easier. -
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RKN Block Checker
Diagnose RKN/TSPU internet blocks layer by layer (DNS, TCP, TLS, HTTP)
RKN Block Checker is a small Python CLI for diagnosing whether the current network connection is affected by Russian RKN or TSPU blocking. It tests blocking behavior layer by layer instead of only reporting that a site is unreachable. The tool can help distinguish DNS poisoning, TCP reset behavior, TLS DPI based on SNI, and ISP stub pages. This makes it useful for developers, system administrators, network researchers, and censorship-measurement workflows. It is designed as a console utility with straightforward installation and optional proxy support. Its main value is giving users a structured way to understand what kind of network interference is occurring rather than relying on vague connectivity symptoms. -
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VGGT-Ω
[CVPR 2026 Oral] VGGT Omega
...It includes pretrained model variants with different resolutions and text-alignment capabilities, though checkpoint access may require approval. The repository also provides a Gradio demo that can visualize predicted cameras and depth-unprojected point clouds as a GLB scene. VGGT-Omega is best suited for researchers and developers working on 3D reconstruction, visual geometry, and image-based scene understanding. -
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book-to-skill
Turn any technical book PDF into a Claude Code skill
book-to-skill is a Claude Code skill that turns technical books and documents into reusable AI reference skills. It extracts content from PDFs and EPUBs, then organizes the material so an assistant can study, reference, and apply it while working. The project is useful for transforming dense manuals, textbooks, internal documentation, or technical guides into practical agent-accessible knowledge. It includes an extraction script and a SKILL.md workflow that guides how the resulting content should be used. The goal is not simply to summarize a book, but to make its knowledge available during problem solving and implementation. book-to-skill is best suited for developers and researchers who want AI assistants to work from specific long-form source material. -
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xAI Python SDK
The official Python SDK for the xAI API
xAI Python SDK is the official Python library for building applications with xAI’s APIs. It is a gRPC-based SDK designed for Python 3.10 and above, with both synchronous and asynchronous clients for different application styles. Developers can use it to generate text, images, videos, and structured outputs through xAI’s model services. The package is built for direct integration into Python projects, making it useful for backend apps, automation scripts, AI tools, research prototypes, and production workflows. It uses xAI’s native gRPC interface, which is intended for high-performance communication with the API. ... -
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Kindle_download_helper
Download all your kindle books script
...It supports several Amazon regions, including Amazon, Amazon.cn, Amazon.de, Amazon.co.uk, and Amazon.co.jp. The workflow requires the user to log in through the browser, retrieve a CSRF token, and then run the script with the correct regional option. It can download purchased Kindle content and, depending on the flag used, personal document files as well. The repository is archived, so it should be treated as a historical utility rather than an actively maintained tool. It is best understood as a convenience script for users who need bulk access to their own Kindle library files. -
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Frigate Home Assistant Integration
Frigate integration for Home Assistant
...The integration is commonly installed through HACS, but it still requires Home Assistant configuration after installation. It depends on MQTT, because Frigate communicates many of its events and states through that channel. Users can also enable Home Assistant’s media source support to browse Frigate media from the Home Assistant interface. The project is especially useful for people building local-first camera monitoring systems with object detection, automations, and smart home alerts. -
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Twspace-dl
A python module to download twitter spaces
...It requires authentication via exported cookies due to API restrictions, ensuring access to protected content. twspace-dl also includes options for saving metadata, playlists, and cover art associated with the stream. It can handle both live and ended Spaces, providing flexibility in content retrieval. Overall, it offers a practical solution for capturing and preserving audio from social media streams. -
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AutoCrop-Vertical
Smart video converter using YOLOv8 and FFmpeg
...Instead of applying a static center crop, the system intelligently tracks people or key objects to preserve visual focus and composition. When cropping would degrade the scene, it can switch to alternative layouts such as letterboxing to maintain context. The tool integrates FFmpeg for encoding and rendering, ensuring efficient processing and compatibility with standard video workflows. It supports multiple output aspect ratios and quality settings, allowing customization for different platforms. Designed as a lightweight script, it runs locally and provides a cost-free alternative to commercial video reframing tools. -
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colleague-skill
Transform a cold separation into a warm Skill
...The system likely integrates with broader agent frameworks, enabling seamless inclusion in multi-agent environments. It emphasizes communication and coordination, ensuring that agents can contribute meaningfully to shared objectives. This makes it particularly useful for complex projects where multiple perspectives or iterative refinement are needed. -
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Clawith
OpenClaw for Teams
Clawith is an AI-driven agent system focused on enabling intelligent task execution, coordination, and interaction across complex environments. It is designed to function as a control layer where agents can perform actions, manage workflows, and respond dynamically to changing conditions. The system likely emphasizes integration with external tools and services, allowing agents to extend their capabilities beyond internal reasoning. Its architecture suggests support for multi-agent collaboration, enabling distributed problem-solving and task delegation. ... -
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autoresearch-mlx
Apple Silicon (MLX) port of Karpathy's autoresearch
...It includes a minimal and focused project structure consisting of data preparation utilities, a modifiable training file, and a program specification that governs the agent’s behavior. The framework logs experiment results and supports continuous iteration, enabling long-running optimization cycles that can reveal hardware-specific performance patterns. -
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NeMo Retriever Library
Document content and metadata extraction microservice
...The system is built on NVIDIA NIM microservices, enabling high-performance parallel processing and efficient handling of large datasets. It supports multiple extraction strategies for different document formats, balancing accuracy and throughput depending on the use case. Additionally, it can generate embeddings for extracted content and integrate with vector databases like Milvus, making it well-suited for retrieval-augmented generation pipelines. -
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Data Science Articles from CodeCut
Collection of useful data science topics along with articles
...The materials address areas such as MLOps, data management, project organization, testing practices, visualization techniques, and productivity tools used by data scientists. Each topic often includes references to code repositories, demonstrations, and video tutorials that show how the tools can be applied in real projects. The repository is intended to help practitioners stay updated with current best practices and technologies in the field of data science. -
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Coursera-ML-AndrewNg-Notes
Personal notes from Wu Enda's machine learning course
...The repository often expands on the original lecture material by adding additional explanations, diagrams, and formulas that clarify the theoretical foundations of the algorithms. These notes serve as a structured reference that learners can review while studying or revisiting machine learning fundamentals. -
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alive-progress
A new kind of Progress Bar, with real-time throughput, ETA
...The library is designed with performance efficiency in mind, using multithreaded updates that minimize CPU overhead and terminal noise. It includes sophisticated ETA estimation powered by exponential smoothing algorithms, improving prediction accuracy for variable workloads. Developers can easily integrate it into scripts thanks to automatic logging hooks and flexible configuration options. With its emphasis on responsiveness, customization, and developer ergonomics, alive-progress stands out as a modern replacement for conventional Python progress bars. -
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GPT PILOT
The first real AI developer
GPT PILOT is an open-source AI developer assistant designed to build full applications by collaborating with a human developer throughout the software lifecycle. Unlike simple autocomplete tools, it aims to function as a true AI engineer that can generate features, set up environments, debug code, and request feedback when necessary. The system works by asking clarifying questions, producing product requirements, and then implementing the application step by step while the user supervises. It powers the Pythagora VS Code extension and relies on coordinated AI agents that mimic roles in a real development workflow. ... -
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MemMachine
Universal memory layer for AI Agents
MemMachine is a universal memory layer designed for AI agents that provides persistent, rich memory storage and retrieval capabilities so autonomous agent systems can recall context, personal preferences, and long-term interaction history across sessions, models, and use cases. Unlike ephemeral LLM prompt state, MemMachine supports distinct memory types—short-term conversational context, long-term persistent knowledge, and profile memory for personalized facts—persisted in optimized stores (e.g., graph databases for episodic lines of reasoning and SQL for user facts) to support robust, context-aware intelligence in agents. ... -
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AI-Researcher
AI-Researcher: Autonomous Scientific Innovation
...The system integrates retrieval mechanisms to pull in external knowledge sources, contextually analyze documents and papers, and build structured representations of ideas and arguments that can later be turned into coherent reports or drafts. Rather than simply generating text from prompts, AI-Researcher orchestrates sequences of subtasks — such as extracting definitions, identifying key experiments, and tracking citations — and uses self-refinement loops to iteratively improve outputs.
