Search Results for "python compile source code" - Page 44
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Showing 2798 open source projects for "python compile source code"
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FormaVid
Small Business Appliance
The FormaVid Small Business Appliance https://formavid.org is designed to integrate a content management system (CMS), an issues tracker and an invoicing application into a single, well constructed, offering. It is an excellent starting point for any developer(s) wishing to support the CMS or any of the other components, including the appliance itself. All components are stable, open source and well supported. The appliance is built using scripts so no hidden "monkey business" and you can... -
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a-Shell
A terminal for iOS, with multiple windows
a-Shell is a full-featured, interactive terminal emulator for iOS that supports a wide range of Unix commands and programming tools. It enables users to run scripts in Python, Lua, JavaScript, C, and more, directly on their iPhone or iPad. a-Shell also supports file manipulation, SSH, and package management using pip, making it a powerful tool for developers, students, and sysadmins working on the go. -
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Mask2Former
Code release for "Masked-attention Mask Transformer
Mask2Former is a unified segmentation architecture that handles semantic, instance, and panoptic segmentation with one model and one training recipe. Its core idea is to cast segmentation as mask classification: a transformer decoder predicts a set of mask queries, each with an associated class score, eliminating the need for task-specific heads. A pixel decoder fuses multi-scale features and feeds masked attention in the transformer so each query focuses computation on its current spatial... -
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JDFTx
Joint Density Functional Theory
JDFTx is a plane-wave density functional theory code designed for electronic structure theory development. One prominent unique capability is the treatment of solvated electronic systems using joint density functional theory. Please see http://jdftx.org for download and compile instructions, tutorials, documentation and citation information. -
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Riverpod
A reactive caching and data-binding framework
... reduces rebuilds by letting widgets depend on fine-grained slices of state, which leads to predictable performance in complex apps. The ecosystem includes code generation and utilities that help catch invalid provider usage at compile time rather than at runtime. Overall, it encourages a clear separation of concerns and scales cleanly from small prototypes to large, multi-module applications. -
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YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. YOLOX is an anchor-free version of YOLO, with a simpler design but better performance! It aims to bridge the gap between research and industrial communities. Prepare your own dataset with images and labels first. For labeling images, you can use tools like Labelme or CVAT. One more thing worth noting is that you should also implement pull_item and load_anno method... -
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Aleph.js
The Full-stack Framework in Deno
The Full-stack Framework in Deno. Aleph.js gives you the best developer experience for building web applications. Aleph.js is a modern framework that doesn't need webpack or another bundler since it uses the ES Module syntax during development. Every module only needs to be compiled once, when a module changes, Aleph.js just needs to re-compile that single module. There is no time wasted re-bundling every time a change is made. This, along with Hot Module Replacement (HMR) and Fast Refresh... -
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OpenOffice.org Utility Library
Library modules for creating ODF documents.
..., font size, font color, background color, etc.) - Set column and row attributes including width and height I am currently hosting the new development code at the following URL: https://github.com/josephcolton/ooolib-python I will be posting releases here on SourceForge as well as GitHub, so you can come to either place for the releases. The newest code will only be available using Git on GitHub. -
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Electron React Boilerplate
A foundation for scalable cross-platform apps
Make changes to your app and preview the changes without having to refresh your app. Changes are made so that the state of your app is not lost. Building scalable apps without types can only go so far. Get type errors while developing your app. Errors are thrown during compile-time and runtime. Optimization and minification of code with webpack come out of the box. This avoids running into performance bottlenecks associated with traditional electron apps. Webpack is one of the most crucial... -
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pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Python 3 code to reproduce the figures in the books Probabilistic Machine Learning: An Introduction (aka "book 1") and Probabilistic Machine Learning: Advanced Topics (aka "book 2"). The code uses the standard Python libraries, such as numpy, scipy, matplotlib, sklearn, etc. Some of the code (especially in book 2) also uses JAX, and in some parts of book 1, we also use Tensorflow 2 and a little bit of Torch. See also probml-utils for some utility code that is shared across multiple notebooks. -
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Carp
A functional, systems programming language with linear types
Carp is a statically typed, functional programming language designed for real-time and systems programming. It features a Lisp-like syntax, strong compile-time checks, and linear type semantics that ensure memory safety without a garbage collector. Carp targets C as its backend, generating performant and predictable native code while offering functional abstractions and interactive development via REPL. -
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Catalyst
Accelerated deep learning R&D
Catalyst is a PyTorch framework for accelerated Deep Learning research and development. It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make... -
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HelenOS
A microkernel-based multiserver operating system written from scratch.
... not aim to be a clone of any existing operating system and trades compatibility with legacy APIs for cleaner design. Most of HelenOS components have been made to order specifically for HelenOS so that its essential parts can stay free of adaptation layers, glue code, franken-components and the maintenance burden incurred by them. -
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PY-Nodes
Code for finding nodes in a material using first-principle approach.
PY-Nodes is a Python 3 based code designed for searching nodes (bands-degenerate points) associated with two or more bands in a given material using the first-principle approach. This code is helpful in efficient searching of the nodes present in the topological semimetals such as- Weyl semimetals, Dirac semimetals & nodal-line semimetals. The code is presently interfaced with the WIEN2k package. The algorithm of the code is based on the Nelder-Mead’s function-minimization approach. The code... -
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TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters
By combining salient features from the TensorFlow deep learning framework with Apache Spark and Apache Hadoop, TensorFlowOnSpark enables distributed deep learning on a cluster of GPU and CPU servers. It enables both distributed TensorFlow training and inferencing on Spark clusters, with a goal to minimize the amount of code changes required to run existing TensorFlow programs on a shared grid. -
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Revel
A high productivity, full-stack web framework for the Go language
Edit, save, and refresh. Revel compiles your code and templates for you, so you don't miss a beat. Code doesn't compile? It gives you a helpful description. Run-time code panic? Revel has you covered. Revel provides routing, parameter parsing, validation, session/flash, templating, caching, job running, a testing framework, and even internationalization. Revel is built around composable middleware called filters, which implement nearly all request-processing functionality. Developers have... -
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m2cgen
Transform ML models into a native code
m2cgen (Model 2 Code Generator) - is a lightweight library that provides an easy way to transpile trained statistical models into a native code (Python, C, Java, Go, JavaScript, Visual Basic, C#, PowerShell, R, PHP, Dart, Haskell, Ruby, F#, Rust, Elixir). Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies. Some models force input data to be particular type during prediction phase... -
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Code Cookbook
Reusable code patterns which you can use as reference or copy
Reusable code patterns which you can use as reference or copy to your project. Achieve small or large tasks using recipes that contain steps, scripts, and config files. -
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YOLOv3
Object detection architectures and models pretrained on the COCO data
Fast, precise and easy to train, YOLOv5 has a long and successful history of real time object detection. Treat YOLOv5 as a university where you'll feed your model information for it to learn from and grow into one integrated tool. You can get started with less than 6 lines of code. with YOLOv5 and its Pytorch implementation. Have a go using our API by uploading your own image and watch as YOLOv5 identifies objects using our pretrained models. Start training your model without being an expert... -
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Awesome Conformal Prediction
A professionally curated list of awesome Conformal Prediction videos
awesome-conformal-prediction is a curated “awesome list” repository on GitHub collecting high-quality resources related to conformal prediction: tutorials, books, papers, theses, open-source libraries, videos, and other educational material. It is not a software library itself but a directory of resources for those wanting to learn or work with conformal prediction and uncertainty quantification. This exceptional resource is the culmination of my PhD journey in Machine Learning, specializing... -
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Rayshade
Rayshade raytracer
now gnu-ized, gcc-4.7.4 or gcc-10.2.0 A raytracer does not require custom code for (shadows, mirrors) like GL: it uses physics to simulate light to make realistic images, leaving one to specify only what is in the scene. (at a cost of speed) Rayshade is a 1990's raytracer, a great one back then (and still useful). Rayshade has an excellent easy to read yet informative User's Guide that other's could not help but copy from. (html of guide is in rayshade-4.0-ftp-and-guide.tar.gz... -
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RQ-Transformer
Implementation of RQ Transformer, autoregressive image generation
... of dimensions. You can use it by importing the HierarchicalCausalTransformer. For autoregressive (AR) modeling of high-resolution images, vector quantization (VQ) represents an image as a sequence of discrete codes. A short sequence length is important for an AR model to reduce its computational costs to consider long-range interactions of codes. However, we postulate that previous VQ cannot shorten the code sequence and generate high-fidelity images together in terms of the rate-distortion trade-off. -
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LayoutParser
A Unified Toolkit for Deep Learning Based Document Image Analysis
With the help of state-of-the-art deep learning models, Layout Parser enables extracting complicated document structures using only several lines of code. This method is also more robust and generalizable as no sophisticated rules are involved in this process. A complete instruction for installing the main Layout Parser library and auxiliary components. Learn how to load DL Layout models and use them for layout detection. The full list of layout models currently available in Layout Parser... -
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Jupyter Dash
Dash v2.11+ has Jupyter support built in
Dash 2.11 and later supports running Dash apps in classic Jupyter Notebooks and in JupyterLab without the need to update the code or use the additional JupyterDash library. If you are using an earlier version of Dash, you can run Dash apps in a notebook using JupyterDash. This page documents additional options available when running Dash apps in notebooks as well as troubleshooting information. -
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EasyNLP
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
..., and deployment for real-world applications. It has powered more than 10 BUs and more than 20 business scenarios within the Alibaba group. It is seamlessly integrated to Platform of AI (PAI) products, including PAI-DSW for development, PAI-DLC for cloud-native training, PAI-EAS for serving, and PAI-Designer for zero-code model training.
