Search Results for "classification"
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Showing 8 open source projects for "classification"
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Earth Engine API
Python and JavaScript bindings for calling the Earth Engine API
The Earth Engine API provides Python and JavaScript client libraries for Google Earth Engine, a planetary-scale geospatial analysis platform. With it, users compose lazy, server-side computations over massive catalogs of satellite imagery and vector datasets without handling raw files locally. The API exposes functional operators for map algebra, reducers, joins, and machine learning that scale transparently on Earth Engine’s backend. Developers authenticate once, work interactively in... -
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MBR WP Performance
Comprehensive WordPress performance optimization plugin
MBR WP Performance is the WordPress optimisation plugin for users who want real control. Instead of hiding complexity behind a single button, it provides transparent, granular controls for every performance technique—so you understand exactly what each feature does. Core Features: Disable WordPress features that you don’t need. Self-host and preload Google Fonts, lazy load images and videos, defer/delay JavaScript execution, generate and inline critical CSS, preload critical resources,... -
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ClassyVision
An end-to-end PyTorch framework for image and video classification
Classy Vision is a PyTorch-based framework designed for large-scale training and deployment of state-of-the-art image and video classification models. Developed by Facebook Research, it serves as an end-to-end system that simplifies the process of training at scale, reducing redundancy and friction in moving from research to production. Unlike traditional computer vision libraries that focus solely on modular components, Classy Vision provides a complete and unified framework, featuring distributed training, reproducible experiments, and flexible configuration tools. ... -
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code-nav
Professional programming navigation
...It contains multiple sub-projects, and the technology stack includes React, Java SpringBoot, Tencent Cloud Development, etc., all of which are open source for everyone to learn, so that you can easily develop beautiful information navigation websites! Most of the programming navigation websites are in disrepair and have good navigation, but they are limited in search and classification, and they do not have functions such as self-recommendation and liking, so they are not sustainable. -
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Supervised Reptile
Code for the paper "On First-Order Meta-Learning Algorithms"
...The implementation here is aimed at supervised few-shot learning settings (e.g. Omniglot, Mini-ImageNet), not reinforcement learning, and includes scripts to run training and evaluation for few-shot classification. The fundamental idea is: sample a task, train on that task (inner loop), and then move the initialization parameters toward the adapted parameters (outer loop). Because Reptile is a first-order algorithm, it avoids computing second derivatives or full meta-gradients, making it computationally simpler while retaining good performance. ... -
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YumpeeCMS
Yumpee CMS is a Content Management System built using Yii2
**NOW ON GITHUB** - https://github.com/yumpee/yumpeecms **CHECK OUT MARKET** http://marketplace.yumpeecms.com ** http://[host_url]/install.php for easy install process ** Any HTML template come alive with dynamic data easily with Yumpee Supports multiple databases in the backend – MySQL/Maria DB, Postgres, Oracle, MS SQL, No SQL databases Communicate easily with Web APIs and process the results with less programming overheads Create your own webservice easily Run different related web... -
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...When you have more than 1,000 websites or articles in your browser's favorites, finding things is definitely a labor of life. Then let the cloud collection help you solve it, which is convenient for classification, organization, query and search. Cloud Collection is an open source website built with Spring Boot, which allows users to collect a website online anytime, anywhere, and categorize the collected websites or articles on the website, which can be used as temporary storage for later reading.
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ConvNetJS
Deep learning in Javascript to train convolutional neural networks
...ConvNetJS is an implementation of Neural networks, together with nice browser-based demos. It currently supports common Neural Network modules (fully connected layers, non-linearities), classification (SVM/Softmax) and Regression (L2) cost functions, ability to specify and train Convolutional Networks that process images, and experimental Reinforcement Learning modules, based on Deep Q Learning. The library allows you to formulate and solve Neural Networks in Javascript. If you would like to add features to the library, you will have to change the code in src/ and then compile the library into the build/ directory. ...
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