Search Results for "textronics design software"
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Showing 6 open source projects for "textronics design software"
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Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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MINI.NVIM
Library of 40+ independent Lua modules improving overall Neovim
Library of 40+ independent Lua modules improving overall Neovim (version 0.8 and higher) experience with minimal effort. They all share same configuration approaches and general design principles. Think about this project as "Swiss Army knife" among Neovim plugins: it has many different independent tools (modules) suitable for most common tasks. Each module can be used separately without any startup and usage overhead. -
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HARPOON 2
Getting you where you want with the fewest keystrokes
HARPOON 2 is a highly popular Neovim plugin created by ThePrimeagen that enhances editor navigation by letting users mark and quickly jump to frequently used files and terminals within their Neovim workflow. Unlike traditional global marks in Vim, Harpoon’s marks are per-project and automatically updated, meaning they follow files even as content changes, which streamlines switching between contextually relevant files during development. It comes with an intuitive menu system that lists... -
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CDN Up and Running
CDN Up and Running - Building a CDN from Scratch to Learn about CDN
CDN Up and Running is an educational project that demonstrates how content delivery networks work by guiding users through building one from scratch using real-world tools and infrastructure components. The repository combines theoretical explanations with hands-on implementation, allowing developers to understand both the concepts and practical challenges of CDN design. It starts with a simple backend service and progressively evolves into a distributed, multi-node system capable of... -
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ResNeXt
Implementation of a classification framework
ResNeXt is a deep neural network architecture for image classification built on the idea of aggregated residual transformations. Instead of simply increasing depth or width, ResNeXt introduces a new dimension called cardinality, which refers to the number of parallel transformation paths (i.e. the number of “branches”) that are aggregated together. Each branch is a small transformation (e.g. bottleneck block) and their outputs are summed—this enables richer representation without excessive... -
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torch-rnn
Efficient, reusable RNNs and LSTMs for torch
The torch-rnn project is a lightweight and efficient implementation of recurrent neural networks built on the Torch framework, focusing on flexibility and reusability for sequence modeling tasks. It provides implementations of standard RNNs and long short-term memory networks, enabling users to train models for tasks such as text generation, language modeling, and sequence prediction. The repository emphasizes simplicity and performance, offering a streamlined pipeline for preprocessing... -
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fast-neural-style
Feedforward style transfer
The fast-neural-style project is an implementation of neural style transfer techniques optimized for real-time image processing. It uses convolutional neural networks to apply artistic styles to images, enabling users to transform photos into stylized outputs inspired by famous artworks. Unlike earlier approaches that required expensive optimization per image, this project leverages feed-forward networks to achieve fast inference, making style transfer practical for real-world applications....
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