Results for: framework-arduinoststm32

ouchGFX is an advanced free-of-charge graphic software framework optimized for STM32 microcontrollers. Taking advantage of STM32 graphic features and architecture, TouchGFX accelerates the HMI-of-things revolution through the creation of stunning, smartphone-like graphic user interfaces. The TouchGFX framework includes the TouchGFX Designer (TouchGFXDesigner), an easy-to-use, drag-and-drop-based graphic-building PC tool, and the TouchGFX engine, a powerful and optimized graphic core. ...

DeepSeek-V3.2 is a next-generation open large language model designed for efficient reasoning, complex problem solving, and advanced agentic behavior. It introduces DeepSeek Sparse Attention (DSA), a long-context attention mechanism that dramatically reduces computation while preserving performance. The model is trained with a scalable reinforcement learning framework, allowing it to achieve results competitive with GPT-5 and even surpass it in its Speciale variant.

DeepSeek-V3.2-Speciale is a high-compute variant of the DeepSeek-V3.2 model, created specifically for deep reasoning and advanced problem-solving tasks. It builds on DeepSeek Sparse Attention (DSA), a custom long-context attention mechanism that reduces computational overhead while preserving high performance. Through a large-scale reinforcement learning framework and extensive post-training compute, the Speciale variant surpasses GPT-5 on reasoning benchmarks and matches the capabilities of Gemini-3.0-Pro. ...

EXAONE Deep is a series of reasoning-enhanced language models developed by LG AI Research, featuring parameter sizes of 2.4 billion, 7.8 billion, and 32 billion. These models demonstrate superior capabilities in various reasoning tasks, including math and coding benchmarks. Notably, EXAONE Deep 2.4B outperforms other models of comparable size, EXAONE Deep 7.8B surpasses both open-weight models of similar scale and the proprietary reasoning model OpenAI o1-mini, and EXAONE Deep 32B shows competitive performance against leading open-weight models. ...

MPLAB® Harmony v3 is a fully integrated embedded software development framework that provides flexible and interoperable software modules to simplify the development of value-added features and reduce your product’s time to market. Core-agnostic implementation which supports both MIPS® and Arm® Cortex® core architectures. Code portability with consistent APIs that can be used across different device families.

...At present, flying paddles have been widely used in industry, agriculture, and service industries, serving 3.2 million developers, and working with partners to help more and more industries complete AI empowerment.

...Users are encouraged to add themselves to the Hadoop PoweredBy wiki page. Apache Hadoop 3.3.4 incorporates a number of significant enhancements over the previous major release line (hadoop-3.2).

...Marketplace with ML frameworks: Explore our Marketplace with its ML-focused libraries, applications, frameworks and tools to streamline your model training. Easy to use. We provide all our new users with a 1-month trial period.

...Intel/AMD RAID support using CSMI (Common Storage Management Interface). Please use the latest RAID driver. Writes disk information to registry for gadgets and other software. The field of buffer size supports a maximum of 32 MB. The filed of rotation rate is defined by ATA8-ACS. CrystalDiskInfo supports only IDE (Parallel ATA) and Serial ATA disks connected internal ATA controller (Chipset included).

...Devstral is fine-tuned from Mistral-Small-3.1 and features a long context window of up to 128,000 tokens. It is optimized for local deployment on high-end hardware, such as a Mac with 32GB RAM or an Nvidia RTX 4090 GPU, and is compatible with inference frameworks like vLLM, Transformers, and Ollama. Released under the Apache 2.0 license, Devstral is available for free and can be accessed via Hugging Face, Ollama, Kaggle, Unsloth, and LM Studio.

...Users can monitor performance metrics, optimize GPU spend, and maintain secure, isolated environments with private networking and tenant separation. It allows deployment of users’ own data, models, frameworks (TensorFlow, PyTorch, JAX), and container technologies (Docker, Apptainer) with root access and no restrictions. It is optimized to scale for demanding applications, including fine-tuning large language models.

...SentiSight is available as a software development kit that allows the development of object recognition systems for Microsoft Windows platforms. System requirements: - x86 (32-bit) or x86-64 (64-bit) processor - SSE2 support (SSSE3 support is recommended) - At least 256 MB of free RAM - Webcam - Microsoft .NET framework 2.0 or newer (for .NET components usage). - Microsoft DirectX 9.0 or later (for camera/webcam usage). - Microsoft Visual Studio 2005 SP1 or newer (for application development under C/C++, C#, Visual Basic .NET) - Limitations in the unregistered version - 30 days trial

GLM-4.6 advances upon its predecessor with stronger reasoning, coding, and agentic capabilities: it demonstrates clear improvements in inferential performance, supports tool use during inference, and more effectively integrates into agent frameworks. In benchmark tests spanning reasoning, coding, and agents, GLM-4.6 outperforms GLM-4.5 and shows competitive strength against models such as DeepSeek-V3.2-Exp and Claude Sonnet 4, though it still trails Claude Sonnet 4.5 in pure coding performance. In real-world tests using an extended “CC-Bench” suite across front-end development, tool building, data analysis, and algorithmic tasks, GLM-4.6 beats GLM-4.5 and approaches parity with Claude Sonnet 4, winning ~48.6% of head-to-head comparisons, while also achieving ~15% better token efficiency. ...