Search Results for "energy"
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18 projects for "energy" with 2 filters applied:
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bitnet.cpp
Official inference framework for 1-bit LLMs
...At its core is bitnet.cpp, a highly optimized C++ backend that supports fast, low-memory inference on both CPUs and GPUs, enabling models such as BitNet b1.58 to run without requiring enormous compute infrastructure. The project’s focus on extreme quantization dramatically reduces memory footprint and energy consumption compared with traditional 16-bit or 32-bit LLMs, making it practical to deploy advanced language understanding and generation models on everyday machines. BitNet is built to scale across architectures, with configurable kernels and tiling strategies that adapt to different hardware, and it supports large models with impressive throughput even on modest resources. -
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Trixi.jl
Trixi.jl: Adaptive high-order numerical simulations of hyperbolic PDEs
Trixi.jl is a numerical simulation framework for hyperbolic conservation laws written in Julia. A key objective for the framework is to be useful to both scientists and students. Therefore, next to having an extensible design with a fast implementation, Trixi.jl is focused on being easy to use for new or inexperienced users, including the installation and postprocessing procedures. -
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HYPRE
Parallel solvers for sparse linear systems featuring multigrid methods
...The HYPRE library is highly portable and supports a number of languages. Work on HYPRE began in the late 1990s. It has since been used by research institutions and private companies to simulate groundwater flow, magnetic fusion energy plasmas in tokamaks and stellarators, blood flow through the heart, fluid flow in steam generators for nuclear power plants, and pumping activity in oil reservoirs, to name just a few areas. In 2007, HYPRE won an R&D 100 award from R&D Magazine as one of the year’s most significant technological breakthroughs. -
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FairChem
FAIR Chemistry's library of machine learning methods for chemistry
...Tasks span heterogeneous domains—catalysis (OC20-style), inorganic materials (OMat), molecules (OMol), MOFs (ODAC), and molecular crystals (OMC)—allowing one model family to serve many simulations. The README provides quick paths for pulling models (e.g., via Hugging Face access), then running energy/force predictions on GPU or CPU. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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CSCall++
C++ interface for Clib and syscall
...By eliminating redundant complexity and verbosity, development becomes highly deterministic, allowing applications to utilize components almost mechanically with zero runtime edge cases. Focus on Real Problems, Not Language Overhead: Minimizing learning curves frees developers from endless "backward learning" (legacy quirks), redirecting energy toward actual business logic. Code As Formal Proof: Built with theoretical completeness. C/C++ can serve as a rigorous, physically verifiable foundation for formal mathematical and logical languages. 本庫屬基礎 C++ 庫, 封裝常用 C 函式與系統呼叫為直覺介面, 旨在高效物件導向開發. 架構極重一致性，透過消滅冗餘複雜度與代碼冗長, 令開發具高度確定性, 組件可近乎「機械式」調用且零運行期邊界錯誤. 聚焦真實問題, 拒絕語言內耗: 壓縮學習成本, 解放無止境的「後向學習」(歷史包袱與瑣碎語法),專注實質業務邏輯. ... -
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CARTOframes
CARTO Python package for data scientists
...Python data analysis workflows often rely on the de facto standards pandas and Jupyter notebooks. Integrating CARTO into this workflow saves data scientists time and energy by not having to export datasets as files or retain multiple copies of the data. Instead, CARTOframes give the ability to communicate reproducible analysis while providing the ability to gain from CARTO's services like hosted, dynamic or static maps and Data Observatory augmentation. -
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OptimTraj
A trajectory optimization library for Matlab
...It supports direct collocation, shooting methods, and pseudospectral methods for finding optimal control inputs and system trajectories. It is useful for robotics, aerospace, biomechanics, and any domain requiring time-optimal or energy-optimal motion planning. -
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Climate Modeling Courseware
Interactive lecture notes and assignments in Jupyter notebook format
...ATM 623 Climate Modeling is an advanced graduate course on climate dynamics and climate modeling. The focus of the course is on the hands-on use of both simple and complex climate models to build an understanding of the processes that control the planetary energy budget. The course makes extensive use of Python code and the Jupyter notebook for reproducible, self-describing calculations and figures. This repository contains a collection of linked Jupyter notebooks with lecture notes, examples and assignments. All notebooks are self-describing. -
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EVLib
Management and simulation of Electric Vehicles activities
...EVLib provides a simple, yet efficient interface for the management of all major EV related activities such as the charging and dis-charging of batteries, as well as battery swapping. Moreover, a large number of parameters, such as the number of chargers, the waiting queues, and the available energy can be easily con figured. On top of this, the library supports the simultaneous operation of many EV activities through the efficient use of threads. -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Molecular Dreams
C++ High level framework thinked for javascript
...Molecular-Dreams was developed on Linux, but it could be easily ported to other platforms, as MacOSX, Windows, Android and others. Finally and simplifying my thoughts, I could say, Variables and Procedures are Energy-Quantum, Objects are Atoms, Applications are Molecules, and so System is the Matter. -
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OGEMA allows software applications aiming at energy management and energy efficiency to be executed on an embedded computer (the Gateway) connected to building automation systems. OGEMA wiki https://www.ogema-source.net/wiki/
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EnyWare is an integration platform for commodity trading and transportation systems that utilizes a comprehensive XML business model derived from 10+ years of object oriented modeling of the commodity markets at major energy marketers.
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The Physics eXtension Library (PXL) is a C++ toolkit for fourvector analysis and hypothesis evolution in high energy physics data analysis.
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VISPA is a novel development environment for high energy physics analyses, based on a combination of graphical and textual steering. The main goal of VISPA is to support users in prototyping, performing, and verifying a data analysis of any complexity.
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The class libraries here provide infrastructure for creating simulations of low energy nuclear physics experiments, as well as some useful working programs that do simple simulations and analysis of experiments performed with magnetic spectrographs.
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Surviving bots is continuous software application in Java that will guide robots to search for energy source around it, tap it and explore ahead for survival and thus evolve into much more advance system.Software is ment to be hardware independent.
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The OptControlCentre (OCC) is an user-friendly software package for the optimization of dynamic systems in energy and chemical engineering. Optimization methods include SQP methods as well as a stochastic approach using Simulated Annealing.
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The goal of EnerWare is to design and create language primitives and/or extensions that enable the support and provision for energy awareness in resource-constrained systems such as embedded sensors and large-scale servers.
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