Search Results for "transfer function model" - Page 3
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Showing 97 open source projects for "transfer function model"
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PyTorch Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, etc.
TLlib is an open-source and well-documented library for Transfer Learning. It is based on pure PyTorch with high performance and friendly API. Our code is pythonic, and the design is consistent with torchvision. You can easily develop new algorithms or readily apply existing algorithms. We appreciate all contributions. If you are planning to contribute back bug-fixes, please do so without any further discussion. If you plan to contribute new features, utility functions or extensions, please... -
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Fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python
...We provide reference implementations of various sequence modeling papers. Recent work by Microsoft and Google has shown that data parallel training can be made significantly more efficient by sharding the model parameters and optimizer state across data parallel workers. These ideas are encapsulated in the new FullyShardedDataParallel (FSDP) wrapper provided by fairscale. Fairseq can be extended through user-supplied plug-ins. Models define the neural network architecture and encapsulate all of the learnable parameters. Criterions compute the loss function given the model outputs and targets. ... -
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CoolplaySpark
Spark Cool Play: Spark source code analysis, Spark class library, etc.
...It serves as a companion resource for the book 深入理解Spark核心思想与源码分析 (In-Depth Understanding of Spark’s Core Concepts and Source Code Analysis). The project contains annotated examples, explanations, and exercises that guide learners through Spark’s architecture, execution model, and source code internals. It is particularly valuable for developers who want to strengthen their understanding of Spark by not only using it as a data processing engine but also exploring how its internals function. Through code analysis and commentary, CoolplaySpark helps readers connect theoretical concepts with practical implementation details. ... -
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Vale
Compiler for the Vale programming language
Vale is a systems programming language and compiler that strives to combine performance, safety, and ease in a way that avoids many of the complexities of traditional memory management techniques. It is ahead-of-time (AOT) compiled, targeting LLVM as a backend, and is statically typed. The language introduces a concept called generational references to provide memory safety without relying on a garbage collector, and aims for “safe without a borrow checker” (i.e. reducing the burden on the... -
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5
AugLy
A data augmentations library for audio, image, text, and video
AugLy is a data augmentations library that currently supports four modalities (audio, image, text & video) and over 100 augmentations. Each modality’s augmentations are contained within its own sub-library. These sub-libraries include both function-based and class-based transforms, composition operators, and have the option to provide metadata about the transform applied, including its intensity. AugLy is a great library to utilize for augmenting your data in model training, or to evaluate the robustness gaps of your model! We designed AugLy to include many specific data augmentations that users perform in real life on internet platforms like Facebook's -- for example making an image into a meme, overlaying text/emojis on images/videos, reposting a screenshot from social media. ... -
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TorchGAN
Research Framework for easy and efficient training of GANs
The torchgan package consists of various generative adversarial networks and utilities that have been found useful in training them. This package provides an easy-to-use API which can be used to train popular GANs as well as develop newer variants. The core idea behind this project is to facilitate easy and rapid generative adversarial model research. TorchGAN is a Pytorch-based framework for designing and developing Generative Adversarial Networks. This framework has been designed to... -
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libfacedetection
Library for face detection in images
This is an open source library for CNN-based face detection in images. The CNN model has been converted to static variables in C source files. The source code does not depend on any other libraries. What you need is just a C++ compiler. You can compile the source code under Windows, Linux, ARM and any platform with a C++ compiler. SIMD instructions are used to speed up the detection. You can enable AVX2 if you use Intel CPU or NEON for ARM. The model file has also been provided in directory... -
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ReinventCommunity
Jupyter Notebook tutorials for REINVENT 3.2
This repository is a collection of useful jupyter notebooks, code snippets and example JSON files illustrating the use of Reinvent 3.2. -
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YApi
A locally deployable, visual interface management platform
YApi makes interface development simpler and more efficient, makes interface management more readable and maintainable, and makes team collaboration more reasonable. Provide basic project grouping, project management, interface management functions. Friendly interface documentation, WebSocket-based multi-person collaboration interface editing function and postman-like testing tools, allowing multi-person collaboration to multiply development efficiency. Based on Mockjs, easy to use and... -
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10
SentEval
A python tool for evaluating the quality of sentence embeddings
...Because the interface is minimal, researchers can plug in encoders from any framework or language model and obtain a broad evaluation with little glue code. SentEval helped establish common baselines and reporting conventions in the sentence-representation community, reducing friction when comparing new methods. -
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The Neural Process Family
This repository contains notebook implementations
...Implementations rely only on standard dependencies such as NumPy, TensorFlow, and Matplotlib, and provide visualizations of model performance. -
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Laravel Searchable
A php trait to search laravel models
Searchable is a trait for Laravel 4.2+ and Laravel 5.0 that adds a simple search function to Eloquent Models. Searchable allows you to perform searches in a table giving priorities to each field for the table and its relations. This is not optimized for big searches, but sometimes you just need to make it simple (Although it is not slow). By default, multi-word search terms are split and Searchable searches for each word individually. Relevance plays a role in prioritizing matches that match... -
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RecNN
Reinforced Recommendation toolkit built around pytorch 1.7
This is my school project. It focuses on Reinforcement Learning for personalized news recommendation. The main distinction is that it tries to solve online off-policy learning with dynamically generated item embeddings. I want to create a library with SOTA algorithms for reinforcement learning recommendation, providing the level of abstraction you like. -
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doT
The fastest + concise javascript template engine for nodejs
Created in search of the fastest and concise JavaScript templating function with emphasis on performance under V8 and nodejs. It shows great performance for both nodejs and browsers. doT.js is fast, small and has no dependencies. doT is a really solid piece of software engineering (I didn’t create it) that is rarely updated exactly for this reason. It took me years to grasp how it works even though it’s only 140 lines of code, it looks like magic. -
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Incremental DOM
An in-place DOM diffing library
Incremental DOM is a lightweight library for building DOM trees by issuing imperative update instructions, avoiding heavyweight virtual DOM diffing at runtime. Instead of creating and diffing large object graphs, templates compile to a sequence of function calls that “patch” the live DOM in place. This model eliminates allocations associated with virtual trees and allows updates to be streamed directly to the DOM, which can improve memory usage and reduce GC pressure. It integrates naturally with template compilers (such as those that generate calls from HTML-like markup) but can also be used by hand for fine-tuned rendering. ... -
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Dep
Go dependency management tool experiment
Dep was an official experiment to implement a package manager for Go. While dep has many discrete components and moving parts, all of these parts revolve around a central model. Dep is a tool intended primarily for use by developers, to support the work of actually writing and shipping code. It is not intended for end users who are installing Go software - that's what go get does. It is strongly recommended that you use a released version of dep. While tip is never purposefully broken, its... -
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jQuery.initialize
jQuery plugin for dynamically created elements initialization
jQuery.initialize plugin is created to help maintain dynamically created elements on the page. jQuery.initialize will iterate over each element that matches the selector and apply the callback function. It will then listen for any changes to the Document Object Model and apply the callback function to any new elements inserted into the document that match the original selector. This allows developers to define an initialization callback that is applied whenever a new element matching the selector is inserted into the DOM. It works for elements loaded via AJAX. -
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HandyJSON
A handy swift json-object serialization/deserialization library
HandyJSON is a framework written in Swift which makes converting model objects( pure classes/structs ) to and from JSON easy on iOS. Compared with others, the most significant feature of HandyJSON is that it does not require the objects inherit from NSObject(not using KVC but reflection), nor implements a 'mapping' function(writing value to memory directly to achieve property assignment). HandyJSON is totally dependent on the memory layout rules inferred from Swift runtime code. ... -
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PadotusRNDT.js
This library allows you to generate a random number
This library allows you to generate a random number in the specified range from 0 to n, without using the built-in function Math.random (), and gets a random number from the processing time of polymorphic mathematical calculations, which depends on the current physical parameters of the CPU, RAM, and t .P. The resulting sequence corresponds to a discrete uniform distribution and is close to natural random sequences in terms of statistical randomness tests (LFSR, Approximate Entropy, DIEHARD Test). -
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node-orm2
Object Relational Mapping
...A Model is an abstraction over one or more database tables. Models support associations. The name of the model is assumed to match the table name. Models can be in separate modules. Simply ensure that the module holding the models uses module.exports to publish a function that accepts the database connection, then load your models however you like. -
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ExAdmin
ExAdmin is an auto administration package for Elixir
ExAdmin is an auto-administration package for Elixir and the Phoenix Framework. This version has been updated to support both Ecto 1.1 and Ecto 2.0. ExAdmin is an auto-administration package for Elixir and the Phoenix Framework, a port/inspiration of ActiveAdmin for Ruby on Rails. Checkout the Live Demo. The source code can be found at ExAdmin Demo. Checkout this Additional Live Demo for examples of many-to-many relationships, nested attributes, and authentication. ExAdmin is an add on for... -
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ardublockEdu
ArduBlock is a Block Programming Language for Arduino.
ArduBlock is a Block Programming Language for Arduino. The language and functions model closely to Arduino Language Reference. This version of ArduBlock is tweaked to more closely resemble the Arduino language, and is meant to teach kids programming basics before transitioning to C or C++. -
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Webiness
Lightweight PHP framework
Webiness is lightweight PHP framework based on MVC design pattern. It has a very straightforward installation process that requires only a minimal configuration, so it can save you a lot of hassle. Also, it canbe an ideal choice if you want to avoid PHP version conflict, as it works on all PHP versions from 5.3. Webiness extensively uses the lazy loading technique so, in most cases, it is faster then other frameworks. It can be used for rapid prototyping of web applications. Webiness is... -
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Spatio-Kemporal kriging
Spatio-Kemporal forecast
The Spatio-temporal Kriging is a small software for kriging. The main function of this software including: 1. This software have both Chinese and English speech interfaces; 2. Supports three kinds of time data format(day,month and year; 3. Analysis of basic statistics and normal distribution inspection; 4. Spatio-temporal Semi-variance Calculating; 5. Spatio-temporal model curvefitting of both separable and non-separable models; 6. -
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IBEX_MDA
An open infrastructure software to facilitate radiomics research.
...The latest stand-alone version can be downloaded at http://bit.ly/IBEX_MDAnderson The latest source-code version can be downloaded at http://bit.ly/IBEXSrc_MDAnderson IBEX (imaging biomarker explorer) is an open infrastructure software platform that flexibly supports common radiomics workflow tasks such as multimodality image data import and review, development of feature extraction algorithms, model validation, and consistent data sharing among multiple institutions. IBEX software package was developed using the MATLAB and C/C++ programming languages. The software architecture deploys the modern model-view-controller, unit testing, and function handle programming concepts to isolate each quantitative imaging analysis task, to validate if their relevant data and algorithms are fit for use, and to plug in new modules.
