Search Results for "stem"
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19 projects for "stem" with 1 filter applied:
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Save Up to 91% on Cloud Compute With Spot VMsRun batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.
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Context Engineering Template
Context engineering is the new vibe coding
...The repository provides templates such as CLAUDE.md for defining global project rules, INITIAL.md for feature requests, and folders for examples, PRPs, validation scripts, and settings to support systematic prompt generation and execution with tools like Claude Code. By using this template, teams can ensure consistency across AI outputs, reduce errors that stem from contextual misunderstandings, and build reusable patterns. -
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GLM-4.5V
GLM-4.6V/4.5V/4.1V-Thinking, towards versatile multimodal reasoning
...GLM-4.5V emerged from a training framework that leverages scalable reinforcement learning (with curriculum sampling) to boost performance across tasks ranging from STEM problem solving to long-context reasoning, giving it broad applicability beyond narrow benchmarks. When it was released, it achieved state-of-the-art results on a large collection of public multimodal benchmarks for open-source models. -
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computem
Transmission Electron Microscope Image Simulation
These programs calculate high resolution conventional and scanning transmission electron microscope (CTEM, STEM) images of thin specimens from first principles using the multislice method for electrons in the energy range of approximately 60 keV to 1000 keV. The fundamental theory and usage are described in "Advanced Computing in Electron Microscopy" (Springer 2020) and Acta Cryst. A72 (2016) p. 1 by Earl J. Kirkland. Please refer to these for the theory of calculation and how to use these programs. ... -
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Quiz/Survey/Test - QST
A Free, complete, open source universal assessment/exam platform
QST, the worlds unparalleled open source, multi-tenant, online/lan assessment software. From a quick quiz on your phone to very large scale, high stakes, proctored desktop testing, we make it easy/secure/economical. Our intuitive design contains features (Immediate detailed results, Create/Export/Import/Convert Questions, WYSIWYG/Visual Math-Chemistry Editors, Question/Item Bank, Multiple Question Types, Multiple Delivery Styles, Multiple Delivery/Results Options, Adaptive/Branching... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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MSqBAT
Label-free protein quantification for LC-MS
MSqBAT is a freely-available all-platform software application for label-free quantification of proteins from LS-MS data. It was developed in the lab of Dr. Christoph Rösli at the Heidelberg Institude for Stem Cells and Experimental Medicine (HI-STEM) and the German Cancer Research Center (DKFZ). It’s main features are 1) Label-free, MS1-based quantification 2) Support both LC-MALDI-MS- as well as LC-ESI-MS data 3) Supports both GeLC-MALDI-MS- and GeLC-ESI-MS data 4) Convenient, graphical user interface Acknowledgements The development of MSqBAT is kindly supported by YourKit Java Profiler. -
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Our mission is to develop open source solutions and provides professional support helps small and medium size companies meet the challenges of developing professional Arabic websites in the PHP/MySQL environment based on our experience in Arabic language processing, the library that we develop helps companies save time and increase productivity.
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JAVA Arabic Stemmer
A JAVA class with a small functionality that is stemming Arabic words
A JAVA Arabic stemmer that is based on Shereen Khoja algorithm. This java class offers a function called stemWrod which takes an arabic word and return the stem of it. -
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Simple Task Execution Manager (STEM) is an OSGi UPnP service that generates events and/or performs actions on UPnP devices and services, when a set of conditions on available UPnP services or devices is evaluated true.
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The National STEM Distributed Learning (NSDL) program is a national network dedicated to advancing STEM teaching and learning for all learners in both formal and informal settings.
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Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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Multiplatform C++ libraries. 1. xmt: Portable programming interface to build MultiThreaded (MT) applications or libraries; 2. sockios: interface to sockets (C++ IO streams); 3. StEM: finite state machine/communication framework (communication with ev
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snlanalytic is a small Python script that takes a stem-and-leaf plot as input and returns basic statistics (sum, mean, median, mode) to the user.
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Stem-Les (Lexicon Extraction Suite) extracts lexical chunks that are relevant in a corpus of documents. If the corpus is bilingual, Stem-Les also finds translation equivalents for the lexical solution selected by the user.
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The STEM cells of PHP provide PHP developers with a set of code modules in PHP, extensions in C and User Interface blocks in JavaScript. Each module is as independent as possible, but functions extremely well in conjunction with the other modules.
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DeepSeek-V4-Pro
Flagship MoE model for advanced reasoning, coding, and agents
...Architecturally, it introduces optimizations to reduce compute and memory costs while improving stability across long sequences. DeepSeek-V4-Pro is positioned as the high-end variant of the V4 family, outperforming most open-source models in areas such as agentic coding, STEM reasoning, and world knowledge, and approaching the performance of leading closed-source systems. It also supports advanced reasoning modes and tool-based workflows, enabling autonomous task execution. -
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Ministral 3 8B Reasoning 2512
Efficient 8B multimodal model tuned for advanced reasoning tasks.
...It combines an 8.4B-parameter language model with a 0.4B vision encoder, enabling it to process both text and images for advanced reasoning tasks. This version is specifically post-trained for reasoning, making it well-suited for math, coding, and STEM applications requiring multi-step logic and problem-solving. Despite its reasoning-focused training, the model remains edge-optimized and can run locally on a single 24GB GPU in BF16, or under 12GB when quantized. It supports dozens of languages, adheres reliably to system prompts, and provides native function calling and structured JSON output—key capabilities for agentic and automation workflows. ... -
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Ministral 3 14B Reasoning 2512
High-precision 14B multimodal model built for advanced reasoning tasks
...It pairs a 13.5B-parameter language model with a 0.4B vision encoder, enabling strong multimodal reasoning across both text and images. This version is specifically post-trained for reasoning tasks, making it highly effective for math, coding, STEM workloads, and complex multi-step problem-solving. Despite its scale, the model is engineered for practical deployment and can run locally on 32GB of VRAM in BF16 or under 24GB when quantized. It maintains robust system-prompt adherence, supports dozens of languages, and provides native function calling with clean JSON output for agentic workflows. ... -
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Ministral 3 3B Reasoning 2512
Compact 3B-param multimodal model for efficient on-device reasoning
...It pairs a 3.4B-parameter language model with a 0.4B-parameter vision encoder, enabling it to understand both text and image inputs. This reasoning-tuned variant is optimized for tasks like math, coding, and other STEM-related problem solving, making it suitable for applications that require logical reasoning, analysis, or structured thinking. Despite its modest size, the model is designed for edge deployment and can run locally, fitting in ~16 GB of VRAM in BF16 or under 8 GB of RAM/VRAM when quantized. It supports dozens of languages, allowing it to function across global and multilingual contexts. ... -
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Hermes 4
Hermes 4 FP8: hybrid reasoning Llama-3.1-405B model by Nous Research
...It introduces a hybrid reasoning mode with explicit <think> segments, enabling the model to deliberate deeply when needed and switch to faster responses when desired. Post-training improvements include a vastly expanded corpus with ~60B tokens, boosting performance across math, code, STEM, logic, creativity, and structured outputs. The model is designed for schema adherence, producing valid JSON and repairing malformed outputs, making it highly suitable for tool use and function calling. Hermes 4 is engineered for superior steerability with reduced refusal rates, aligning responses to user values while preserving assistant quality. ... -
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Qwen3.8-27B
Dense 27B multimodal model for coding, agents, and visual reasoning
...Built on the Qwen3.5 architecture, it contains 27B parameters and combines Gated DeltaNet with gated attention across 64 layers. The model natively understands text, images, and videos, including documents, STEM diagrams, and hour-scale video content. Agent capabilities emphasize autonomous planning, environment feedback, computer and browser use, and reliable completion of complex multi-step workflows. Qwen3.8-27B supports a native 262,144-token context window that can be extended to one million tokens. Thinking is enabled by default, with low, medium, and xhigh reasoning-effort settings and preserved reasoning across conversations. ...
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