Search Results for "riscv-none-embed-gcc"
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Showing 79 open source projects for "riscv-none-embed-gcc"
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CodeChecker
CodeChecker is an analyzer tooling, defect database
...Executes Clang-Tidy and Clang Static Analyzer with Cross-Translation Unit analysis, Statistical Analysis (when checkers are available). Creates the JSON compilation database by wiretapping any build process (e.g., CodeChecker log -b "make"). Automatically analyzes GCC cross-compiled projects: detecting GCC or Clang compiler configuration and forming the corresponding clang analyzer invocations. Incremental analysis: Only the changed files and its dependencies need to be reanalyzed. False positive suppression with a possibility to add review comments. Result visualization in command line or in static HTML. ... -
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asciinema
Open source terminal session recorder
...Recording is as easy as running one command, and since it’s purely text-based you can copy and paste any content you want, simply pause the recording! You can also easily share your recordings on the web, embed an asciicast player in your blog post, project documentation page or in your conference talk slides. See plenty of example sessions recorded with asciinema here: https://asciinema.org/ -
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Ansible AUR
Ansible module to manage packages from the AUR
...It supports various AUR helpers such as yay, paru, pacaur, trizen, pikaur, and aurman, automatically selecting the first available helper or falling back to makepkg if none are found. This module facilitates the installation and upgrading of AUR packages within Ansible playbooks, streamlining package management for Arch Linux systems. -
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Matplotlib
matplotlib: plotting with Python
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Matplotlib ships with several add-on toolkits, including 3D plotting with mplot3d, axes helpers in axes_grid1 and axis helpers in axisartist. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a... -
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Shaderc
A collection of tools, libraries, and tests for Vulkan shader
...It provides both a command-line tool (glslc) and a C/C++ library (libshaderc) that wrap the functionality of glslang (the Khronos reference compiler for GLSL) and SPIRV-Tools to deliver a modern, scriptable, and efficient shader compilation workflow. The glslc compiler offers a GCC/Clang-like interface for building GLSL and HLSL shaders, making it easy to integrate into existing build systems. Meanwhile, libshaderc exposes a stable API that allows developers to programmatically compile shader strings into SPIR-V modules within graphics engines and tools. Shaderc supports advanced features such as file inclusion (#include), concurrency, and cross-platform builds, and it maintains backward compatibility for long-term projects. -
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YAPF
A formatter for Python files
...Instead of relying on a fixed set of heuristics, it explores formatting decisions and chooses the lowest-cost result, aiming to produce code a human would write when following a style guide. You can run it as a command-line tool or call it as a library via FormatCode / FormatFile, making it easy to embed in editors, CI, and custom tooling. Styles are highly configurable: start from presets like pep8, google, yapf, or facebook, then override dozens of options in .style.yapf, setup.cfg, or pyproject.toml. It supports recursive directory formatting, line-range formatting, and diff-only output so you can check or fix just the lines you touched. -
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NetworkX
Network analysis in Python
...Additional benefits from Python include fast prototyping, easy to teach, and multi-platform. Find the shortest path between two nodes in an undirected graph. Python’s None object is not allowed to be used as a node. It determines whether optional function arguments have been assigned in many functions. And it can be used as a sentinel object meaning “not a node”. -
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tf2onnx
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
...TensorFlow has many more ops than ONNX and occasionally mapping a model to ONNX creates issues. tf2onnx will use the ONNX version installed on your system and installs the latest ONNX version if none is found. We support and test ONNX opset-13 to opset-17. opset-6 to opset-12 should work but we don't test them. If you want the graph to be generated with a specific opset, use --opset in the command line, for example --opset 13. When running under tf-2.x tf2onnx will use the tensorflow V2 controlflow. -
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JC
CLI tool and python library
...Two representations of the data are available. The default representation uses a strict schema per parser and converts known numbers to int/float JSON values. Certain known values of None are converted to JSON null, known boolean values are converted, and, in some cases, additional semantic context fields are added. -
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10
Claude Code SDK Python
Python SDK for Claude Agent
...The SDK includes core client classes, asynchronous query functions, and support for custom tools and hooks within Claude sessions. It is designed to integrate with local Python workflows and allow developers to embed Claude Code capabilities directly in their applications or scripts. The repo is MIT-licensed and includes documentation and installation instructions (requires Python 3.10+, Node installation of Claude Code). Example usage shows how to stream responses, parse structured message blocks, or create persistent client sessions. -
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pydantic
Data parsing and validation using Python type hints
...Strings, bytes or floats will be coerced to ints if possible; otherwise an exception will be raised. name is inferred as a string from the provided default; because it has a default, it is not required. signup_ts is a datetime field which is not required (and takes the value None if it's not supplied). pydantic will process either a unix timestamp int (e.g. 1496498400) or a string representing the date & time. friends uses python's typing system, and requires a list of integers. As with id, integer-like objects will be converted to integers. -
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OpenBB
Investment Research for Everyone, Everywhere
Customize and speed up your analysis, bring your own data, and create instant reports to gain a competitive edge. Whether it’s a CSV file, a private endpoint, an RSS feed, or even embed an SEC filing directly. Chat with financial data using large language models. Don’t waste time reading, create summaries in seconds and ask how that impacts investments. Create your dashboard with your favorite widgets. Create charts directly from raw data in seconds. Create charts directly from raw data in seconds. Customize your dashboards to build your dream terminal, integrate with your private datasets and bring your own fine-tuned AI copilots. -
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OpenWPM
A web privacy measurement framework
OpenWPM is a web privacy measurement framework that makes it easy to collect data for privacy studies on a scale of thousands to millions of websites. OpenWPM is built on top of Firefox, with automation provided by Selenium. It includes several hooks for data collection. Check out the instrumentation section below for more details. OpenWPM is tested on Ubuntu 18.04 via TravisCI and is commonly used via the docker container that this repo builds, which is also based on Ubuntu. Although we... -
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Stable Diffusion Version 2
High-Resolution Image Synthesis with Latent Diffusion Models
Stable Diffusion (the stablediffusion repo by Stability-AI) is an open-source implementation and reference codebase for high-resolution latent diffusion image models that power many text-to-image systems. The repository provides code for training and running Stable Diffusion-style models, instructions for installing dependencies (with notes about performance libraries like xformers), and guidance on hardware/driver requirements for efficient GPU inference and training. It’s organized as a... -
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Theseus
A library for differentiable nonlinear optimization
Theseus is a library for differentiable nonlinear optimization that lets you embed solvers like Gauss-Newton or Levenberg–Marquardt inside PyTorch models. Problems are expressed as factor graphs with variables on manifolds (e.g., SE(3), SO(3)), so classical robotics and vision tasks—bundle adjustment, pose graph optimization, hand–eye calibration—can be written succinctly and solved efficiently. Because solves are differentiable, you can backpropagate through optimization to learn cost weights, feature extractors, or initialization networks end-to-end. ... -
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CLIP-as-service
Embed images and sentences into fixed-length vectors
CLIP-as-service is a low-latency high-scalability service for embedding images and text. It can be easily integrated as a microservice into neural search solutions. Serve CLIP models with TensorRT, ONNX runtime and PyTorch w/o JIT with 800QPS[*]. Non-blocking duplex streaming on requests and responses, designed for large data and long-running tasks. Horizontally scale up and down multiple CLIP models on single GPU, with automatic load balancing. Easy-to-use. No learning curve, minimalist... -
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Super Tiny Icons
Super Tiny Icons are miniscule SVG versions of your favourite website
...The project emphasizes performance: tiny inline SVGs reduce network transfer, speed up rendering, and scale crisply on high-DPI displays. Designers and developers can embed the icons directly, recolor them via CSS, or combine them in sprites without raster assets. The repository maintains consistent viewboxes and alignment so icons sit neatly alongside text and other UI elements. It is especially useful for landing pages, status banners, and mobile experiences where every byte matters. -
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DocArray
The data structure for multimodal data
DocArray is a library for nested, unstructured, multimodal data in transit, including text, image, audio, video, 3D mesh, etc. It allows deep-learning engineers to efficiently process, embed, search, recommend, store, and transfer multimodal data with a Pythonic API. Door to multimodal world: super-expressive data structure for representing complicated/mixed/nested text, image, video, audio, 3D mesh data. The foundation data structure of Jina, CLIP-as-service, DALL·E Flow, DiscoArt etc. Data science powerhouse: greatly accelerate data scientists’ work on embedding, k-NN matching, querying, visualizing, evaluating via Torch/TensorFlow/ONNX/PaddlePaddle on CPU/GPU. ... -
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Razorclicker
Powerful autoclicker with keyboard spamming
...From your liking you can change hotbar settings for start, stop, hide ui and exit program. This program has many great feature including spam bot. There is in column 5 types of time type. Seconds, milli seconds, micro seconds, nano seconds and None. None is by far the fastest for clicking. When you quit the autoclicker. You can save the config by clicking save button. All configs should be saved in same directory folder with Config. There are store resolution cfg and hotkeybar settings. Which you choose. The autoclicker max tested is 10000 cps. It depends on graphical card performance What's new in version 1.0.8. ... -
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stardew valley modmenu
Stardew Valley CHEATS 2025 | Best Farming & Money Hacks & Mod Menu
.... ⭐️ Supported Processors: Intel / AMD Supported systems: Windows 10, 11, version (1903-24H2) Supported game version: Steam Supported Game modes: Windowed, Full-screen in a window Support for invisibility in videos or screenshots: None -
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python-proxy-headers
Handle custom proxy headers when making HTTPS requests in python
The python-proxy-headers package provides support for handling custom proxy headers when making HTTPS requests in various python modules. We currently provide extensions to the following packages: urllib3 requests aiohttp httpx None of these modules provide good support for parsing custom response headers from proxy servers. And some of them make it hard to send custom headers to proxy servers. So we at ProxyMesh made these extension modules to support our customers that use Python and want to use custom headers to control our proxy behavior. But these modules can work for handling custom headers with any proxy. -
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Super Easy AI Installer Tool
Application that simplifies the installation of AI-related projects
"Super Easy AI Installer Tool" is a user-friendly application that simplifies the installation process of AI-related repositories for users. The tool is designed to provide an easy-to-use solution for accessing and installing AI repositories with minimal technical hassle to none the tool will automatically handle the installation process, making it easier for users to access and use AI tools. "Super Easy AI Installer Tool" is currently in early development phase and may have a few bugs. But remains a great solution for users with minimal technical knowledge or expertise. Fixes underway. A tool that can generate animations and music from text, ideal for producing short videos and GIFs, as well as creating brief cinematic scenes. -
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Gnu Tools
Unix Tools For Windows
...Loads of modifications compared to the Msys2 package from Alex, you can still update Msys2 packages from his server though. MinGW64 packages have to many changes compared to Alex version so those will not upgrade but im working on creating my own package server. Current Msys2/MinGW64 gcc is now 6.2.0-4 and binutils 2.27. New packages will be uploaded shortly. Stay tuned for more changes. -
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Petoron-P2P-Messenger
minimalistic, secure and autonomous P2P messenger
Petoron P2P Messenger (P-P2P-M) Architecture: Pure P2P - no servers, no databases Key storage: Keys generated in memory, never stored, erased after use Metadata: Only IP and port exist during the session - everything else is encrypted & obfuscated Encryption: PQS v1.2 - PBKDF2-HMAC-SHA256 (200k), BLAKE2s-MAC, custom stream cipher + fake padding Authentication: BLAKE2s-MAC (16 bytes) - instant failure on any data change Packet obfuscation: --stealth mode - padding, hidden structures Connection: Direct peer-to-peer only Anonymity: No accounts, logins, or phone numbers Third-party access: Impossible without physical access to both peers during session History: No storage — all in RAM, wiped on close Message size: Limited only by RAM & MTU — no artificial limits External dependencies: None DPI/blocking resistance: Harder to detect, can be masked Autonomy: Fully offline until peers connect https://github.com/01alekseev/Petoron-P2P-Messenger -
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Prime number ( primenumbers )
Benchmark for 50 000 000 prime numbers as single and multicore
Simple source files and compiled JAR Java programs, for benchmark 50 000 000 cycle finding prime numbers. On Intel(R) Core(TM) i5-8600K CPU, Windows 10 20H2, i have 39 second on single core and 7,6 second on multi core. (PS: C++ multicore 6 second). Added C files for gcc compiler in Windows 10 and for Xcode C command line project in MacOS ( tested on Mac mini M2 with single core 16 to 25 sec and multicore 2,3 to 5 second by compiler -O switch). Surprise, same code in JavaScript for M2 chip in Safari, 12,5 sec single core and 3,3 sec multi core. Python version with numba and numpy on MacOS with M2, 3,78 sec.
