Search Results for "simulation tools peptide"
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Showing 8 open source projects for "simulation tools peptide"
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Recursive Language Models
General plug-and-play inference library for Recursive Language Models
RLM (short for Reinforcement Learning Models) is a modular framework that makes it easier to build, train, evaluate, and deploy reinforcement learning (RL) agents across a wide range of environments and tasks. It provides a consistent API that abstracts away many of the repetitive engineering patterns in RL research and application work, letting developers focus on modeling, experimentation, and fine-tuning rather than infrastructure plumbing. Within the framework, you can define custom... -
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eCxx
A C++ library for AVR and NodeMCU
NOTE: This project is marked with 'Status: Abandoned' on SourceForge because not enough time can be dedicated to this project. However it may still get sporadic commits to the repository. eCxx is a library for AVR and NodeMCU tailored for micro LED displays and lighting effects. eCxx is utilizing Makefile build system. Java and Python based applications/tools are also included to ease the development and debugging process using the host PC. On one side, eCxx supports the original... -
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HARFANG 3D engine
HARFANG 3D source code public repository
HARFANG 3D builds real-time 3D tools for industry professionals. Its software suite is tailored to developers, designers and engineers aiming to efficiently and seamlessly develop, implement & deploy 3D solutions (HMI, VR/AR, simulation, interactive 3D), regardless of development language or platform constraints. HARFANG Studio is the ideal 3D editor for creating real-time scenes & animations that match your design vision. -
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CDN Up and Running
CDN Up and Running - Building a CDN from Scratch to Learn about CDN
...The project uses technologies such as Nginx, Lua, Docker, Prometheus, and Grafana to simulate realistic CDN environments and monitoring systems. It also explores performance considerations, including latency simulation, load balancing, and scalability. By integrating observability tools, it enables users to analyze system behavior and performance metrics. -
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Graph Nets library
Build Graph Nets in Tensorflow
Graph Nets, developed by Google DeepMind, is a Python library designed for constructing and training graph neural networks (GNNs) using TensorFlow and Sonnet. It provides a high-level, flexible framework for building neural architectures that operate directly on graph-structured data. A graph network takes graphs as inputs, consisting of edges, nodes, and global attributes, and produces updated graphs with modified feature representations at each level. This library implements the... -
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PixelFlow
A Processing/Java library for high performance GPU-Computing (GLSL)
PixelFlow is a Processing library focused on advanced graphics and visual effects, offering an extensive suite of GPU-based tools for visual artists, researchers, and creative coders. It enables real-time simulation and rendering of complex effects such as fluid dynamics, reaction-diffusion systems, soft shadows, and more, all powered by GLSL shaders. Its modular structure allows for chaining and composing various visual effects easily, making it ideal for installations, performances, and visual experimentation. -
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TIKAPP is becoming a collection of tools for simulation of neural networks. The first available part is an ANSI-C++ library with support for backpropation networks.
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