Search Results for "code" - Page 67
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6400 projects for "code" with 1 filter applied:
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ConvNeXt
Code release for ConvNeXt model
ConvNeXt is a modernized convolutional neural network (CNN) architecture designed to rival Vision Transformers (ViTs) in accuracy and scalability while retaining the simplicity and efficiency of CNNs. It revisits classic ResNet-style backbones through the lens of transformer design trends—large kernel sizes, inverted bottlenecks, layer normalization, and GELU activations—to bridge the performance gap between convolutions and attention-based models. ConvNeXt’s clean, hierarchical structure... -
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Guided Diffusion
Codebase for Diffusion Models Beat GANS on Image Synthesis
...It is derived from OpenAI’s improved-diffusion work, enhanced to include guided generation where a classifier (or other guidance mechanism) can steer sampling toward desired classes or attributes. The code provides model definitions (UNet, diffusion schedules), sampling and training scripts, and utilities for guidance and evaluation. A key insight is that combining diffusion sampling with classifier gradients allows fine control over the generated images, trading off diversity vs fidelity. The repository includes scripts such as image_train.py, image_sample.py, and classifier_train.py to train diffusion models, generate samples, and train guiding classifiers. ... -
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Rel
Rel is a database management system (DBMS) that implements Tutorial D.
Rel is a DBMS primarily intended for educational purposes, but also suitable as a desktop DBMS or lightweight server, that implements Date and Darwen's "Tutorial D" true relational database language. Source code is available at https://github.com/DaveVoorhis/Rel -
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YOLOV3 Pytorch
This is a source code for yolo3-pytorch
YOLOV3 Pytorch is a PyTorch implementation of the YOLOv3 object detection model built for training, prediction, and evaluation. The repository provides a complete workflow for users who want to train their own object detector with VOC-style data or use pretrained weights. It includes utilities for annotation conversion, anchor generation, image prediction, video prediction, batch prediction, FPS measurement, heatmap output, and mAP evaluation. The project added multi-GPU training, target... -
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Tomorrow Theme
Tomorrow Theme
...The project ships ports for a wide range of tools (from Vim and Emacs to Sublime Text, iTerm, and more) and documents the palette so others can create faithful ports. Its emphasis on restraint and consistency makes it a popular baseline for teams that want code to look familiar across machines and applications. -
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AdaControl
Ada source code controller
A tool that detects the use of many constructs in Ada programs. Use it to control style or programming rules, but also as a powerful tool to search for use (or non-use) of various forms of programming styles or design patterns. -
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flutter_ume
UME is an in-app debug kits platform for Flutter
...It lets developers embed a suite of debugging tools directly into a Flutter app (during development or debug builds), enabling inspection, performance monitoring, UI debugging, network request inspection, widget hierarchy introspection, and more — all from within the running app. UME bundles multiple “plugin kits” (e.g., UI inspector, performance monitor, device info panel, network inspector via Dio, console log viewer, code viewer, touch indicator) so developers can enable only the tools they need. It supports Flutter 3 and Dart with null-safety, integrates as a dev dependency (so it doesn’t ship by default with production builds), and offers a simple API to activate the debug overlay. Because it's open source under MIT license, developers can also create custom plugin kits and extend UME’s capabilities to suit their debugging or testing workflow. -
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Data Analysis for the Life Sciences
Rmd source files for the HarvardX series PH525x
...It functions as the canonical source for course lab exercises, lecture modules, and reading materials in reproducible format. Students and learners use these R Markdown files to follow along, knit notebooks, run code samples, and complete the lab-based assignments. The repo is licensed under MIT, allowing reuse and modification. It is part of a larger ecosystem: the compiled HTML / book version of the labs is published via a companion “book” repository, which presents a polished, browsable version of the materials. The content covers topics such as data wrangling in R, statistical inference, genomics workflows, Bioconductor packages, and project-based analyses. ... -
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ISLR-python
An Introduction to Statistical Learning
...The datasets used in the book are also included so that users can run experiments directly within the provided notebooks. By translating the statistical learning material into Python code, the repository makes the book’s concepts accessible to a wider community of Python users. -
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Flutter Hooks
React hooks for Flutter
...Common hooks like useState, useEffect, and useMemoized provide clear ways to manage lifecycle and dependencies inside a widget’s build method. The library improves code readability by keeping logic close to the UI definitions and avoiding repetitive patterns. By encapsulating behavior in hooks, developers can create reusable building blocks across multiple widgets. It integrates seamlessly with existing Flutter tools and promotes cleaner, functional-style widget code. -
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OICQ
Tencent QQ Bot Library for Node.js
OICQ is a fast, feature-rich QQ client library for Node.js, enabling developers to interact with the QQ messaging platform programmatically. -
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nV@derz! is a two-dimensional, vertical space shooter inspired by the classic arcade game Space Invaders. The player must defend the planet from waves of aliens, and the game features a few variations from the original. Play with PC joysticks or keyboard with one or two players. Note (04-26-2017): Sound may not work on some systems. Please share your experience with nV@derz! in the Discussion forum or make a ticket in the Bugs tracker. Thanks.
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Machine Learning Glossary
Machine learning glossary
...The content is organized into sections that progressively introduce key ideas from basic machine learning concepts to more advanced mathematical topics. Many pages include diagrams or code examples to illustrate how algorithms work in practice. Because the project emphasizes accessibility, it is particularly useful for beginners who want a conceptual overview of machine learning terminology before diving into more technical research papers. -
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WaveRNN
WaveRNN Vocoder + TTS
...As a vocoder, WaveRNN models raw audio with a compact recurrent neural network that can generate high-quality waveforms more efficiently than many traditional autoregressive models. The repository includes scripts and code for preprocessing datasets such as LJSpeech, training Tacotron to produce mel spectrograms, training WaveRNN on those spectrograms (with optional GTA data), and finally generating audio. A quick_start.py script allows users to immediately synthesize example sentences from a pretrained model and inspect both generated audio and attention plots. ... -
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Flowy
The minimal javascript library to create flowcharts
flowy is a minimal JavaScript library for building interactive flowchart-style interfaces in web applications, allowing developers to create node-based editors, automation builders, or visual programming tools with relatively little code. It provides draggable, connectable blocks (nodes) that can be placed on a canvas, connected via lines, and rearranged dynamically while preserving the underlying graph structure. The library focuses on simplicity and aesthetics, offering a clean look out of the box that can be customized with your own CSS, making it suitable for dashboards, SaaS products, or internal tools. ... -
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paip-lisp
Lisp code for the textbook "Paradigms of Artificial Intelligence"
...It is valuable for readers who want to study the original code while working through the text or revisiting older AI ideas. The code also serves as a historical reference for how AI programming was taught before today’s deep-learning-centered ecosystem. paip-lisp is best suited for learners interested in Lisp, symbolic AI, and the foundations of practical AI programming. -
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the-way-to-go_ZH_CN
The Chinese translation of "The Way to Go" Guide
the-way-to-go_ZH_CN is the Chinese translation of the Go programming book The Way to Go, known as (“Go Introduction Guide”). The translator, along with a team of contributors, created this project to make a high-quality Go learning resource accessible to Chinese readers who might struggle with English-language books. The README explains that the original author, Ivo Balbaert, granted authorization for the translation and even for updating certain content to match newer Go versions. The... -
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tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
...The material is intended for learners who already have foundational knowledge of ML and wish to deepen their understanding of deep learning frameworks and practices. The repo supports experimentation: you can run code, tweak hyperparameters, and follow guided exercises that strengthen practical mastery. Rather than being book-based, it is course-based, meaning the flow, examples and structure lean toward interactive teaching and incremental builds. It’s well-suited for those who want a focused, deep-learning path rather than a broad ML textbook. -
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asm68c
Assembles M6800 and 6801 assembly language source code. (and Forth)
A simple absolute mode assembler for 6800/6801. Handles the complete published set of opcodes/mnemonics. Mostly source-language compatible with the common assemblers in use circa 1985, but no macros. Now uses standard LDAA syntax by default. Produces basic S1/S9 object files and assembly listings, and now binary and MC-10 compatible cassette images. (This is for the 8-bit 6800, not the 16/32 bit 68000/coldfire processors.) -
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Unified Code Generation
Open-source code generator for Simulink/Stateflow
This project provides an open-source framework for the generation of high quality source code which is suitable for safety-critical applications and certification (e.g DO-178B). Currently a Simulink and Stateflow front-end and a C-language back-end are included. Some of the strengths of UCGN: - Clearly readable source-code - Separation of functionality and parameters ("tunable parameters") - Robust data storage (compile-time static structures in favor of pointer run-time constructs) - Clear software architecture, direct correspondence to the model architecture - Separation of reusable library code - Simplicity and uniformity of software interfaces (for testing etc.) ... -
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The Simplest Manual Counter
Manual counter with the keyboard or the mouse on images
The only open source counter to count any items the simplest and easiest way with the keyboard, or the mouse specifically on images. After associating a key to each item, or a predefined graphical symbol for images, pressing the key or clicking on the image increments its associated counter, and displays (for the images) the symbol at the mouse's pointer location. Such a project is so simple a child could use it! -
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With the JServiceServer you can provide services over a network via http (like web services) without any XML-overhead. It has been developed for small computer systems like Java-microcontrollers.
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starboard-notebook
In-browser literate notebooks
starboard-notebook is an in-browser literate notebook runtime that enables users to write, edit, and interact with computational documents directly in the browser without needing a traditional backend notebook server. The project is built around an innovative runtime that interprets code cells and markdown in a way that feels fluid and interactive, often bridging concepts from classical notebook tools with modern web technologies. Starboard notebooks support multiple languages, and the tooling emphasizes portability, making notebooks viewable and executable even on mobile devices or static sites. Because the runtime runs entirely inside the browser, it removes installation barriers and provides a sandboxed environment for exploration, learning, and sharing. ... -
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TheoDORE
Theoretical Density, Orbital Relaxation and Exciton analysis
...TheoDORE is interfaced to a number of quantum chemical programs (Q-Chem, Columbus, Turbomole, ...) and can be used for a wide range of excited state methods (MR-CI, ADC, CC, TDDFT). It is written in a modular fashion to allow for an easy extension of these capabilities. Code development moved to github: https://github.com/felixplasser/theodore-qc -
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pspider
Simple Python framework for building multithreaded web crawlers
PSpider is a lightweight web crawling framework written in Python designed to simplify the development of custom web spiders. It focuses on providing an easy-to-understand architecture while still supporting concurrent crawling for improved performance. It uses a multithreaded model that separates the crawling workflow into several components responsible for fetching, parsing, and saving data. Tasks are managed through queues, allowing different parts of the crawler to process work...
