Search Results for "tensor network state" - Page 7
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Showing 394 open source projects for "tensor network state"
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Deep Exemplar-based Video Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Colorization"
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization". End-to-end network for exemplar-based video colorization. The main challenge is to achieve temporal consistency while remaining faithful to the reference style. To address this issue, we introduce a recurrent framework that unifies the semantic correspondence and color propagation steps. Both steps allow a provided reference image to guide the colorization of every frame, thus reducing accumulated propagation errors. ... -
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Siesta
The civilized way to write REST API clients for iOS / macOS
Drastically simplifies app code by providing a client-side cache of observable models for RESTful resources. The elegant way to write iOS / macOS REST clients. You need to display response data whenever it arrives. Unless the requesting screen is no longer visible. Unless some other currently visible bit of UI happens to need the same data. Or is about to need it. You should show a loading indicator (but watch out for race conditions that leave it stuck spinning forever), display... -
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EfficientNet Keras
Implementation of EfficientNet model. Keras and TensorFlow Keras
This repository contains a Keras (and TensorFlow Keras) reimplementation of EfficientNet, a lightweight convolutional neural network architecture achieving state-of-the-art accuracy with an order of magnitude fewer parameters and FLOPS, on both ImageNet and five other commonly used transfer learning datasets. Convolutional Neural Networks (ConvNets) are commonly developed at a fixed resource budget, and then scaled up for better accuracy if more resources are available. ... -
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CNN Explainer
Learning Convolutional Neural Networks with Interactive Visualization
In machine learning, a classifier assigns a class label to a data point. For example, an image classifier produces a class label (e.g, bird, plane) for what objects exist within an image. A convolutional neural network, or CNN for short, is a type of classifier, which excels at solving this problem! A CNN is a neural network: an algorithm used to recognize patterns in data. Neural Networks in general are composed of a collection of neurons that are organized in layers, each with their own learnable weights and biases. Let’s break down a CNN into its basic building blocks. ... -
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pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pytorch-tutorial is a highly popular educational repository that teaches deep learning with PyTorch through step-by-step examples and well-structured lessons. It is designed primarily for beginners and intermediate practitioners who want to understand PyTorch fundamentals and quickly move toward building real neural network models. The repository walks users through core concepts such as tensors, autograd, neural network modules, convolutional networks, recurrent networks, and transfer... -
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Delta ML
Deep learning based natural language and speech processing platform
...DELTA aims to provide easy and fast experiences for using, deploying, and developing natural language processing and speech models for both academia and industry use cases. DELTA is mainly implemented using TensorFlow and Python 3. DELTA has been used for developing several state-of-the-art algorithms for publications and delivering real production to serve millions of users. It helps you to train, develop, and deploy NLP and/or speech models. Use configuration files to easily tune parameters and network structures. What you see in training is what you get in serving: all data processing and features extraction are integrated into a model graph. ... -
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Windows Defender Central v0.5
Windows Defender Central
A very basic centralized management for Windows Defenders. It is in BETA state, but it is usable. It works only with Windows 10 Defenders. Updated the code: it is now compatible with build 2004 and it uses multithreading to query the machines. It uses PowerShell and SysInternalsSuite(PsExec.exe) to gather the information and it stores the data in a shared network drive (what the computers can access and have write access). -
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Forecasting Best Practices
Time Series Forecasting Best Practices & Examples
Time series forecasting is one of the most important topics in data science. Almost every business needs to predict the future in order to make better decisions and allocate resources more effectively. This repository provides examples and best practice guidelines for building forecasting solutions. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in forecasting algorithms to build solutions and operationalize them. Rather than... -
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WebRTC Android
webrtc VideoCall VideoConference
...It demonstrates a complete pipeline—from signaling and connection setup to media capture and transmission—making it an excellent reference for developers looking to integrate WebRTC into their mobile apps. The project includes UI components and handles network state changes, codec configuration, and ICE negotiation to provide a robust base for real-world applications. -
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Scaffold-ETH
Forkable Ethereum dev stack focused on fast product iterations
...The project promotes good habits with opinionated structure, sample tests, and patterns for environment configuration and multi-network deployment. It’s widely used for tutorials, hackathons, and MVPs. -
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NLP Best Practices
Natural Language Processing Best Practices & Examples
In recent years, natural language processing (NLP) has seen quick growth in quality and usability, and this has helped to drive business adoption of artificial intelligence (AI) solutions. In the last few years, researchers have been applying newer deep learning methods to NLP. Data scientists started moving from traditional methods to state-of-the-art (SOTA) deep neural network (DNN) algorithms which use language models pretrained on large text corpora. This repository contains examples and best practices for building NLP systems, provided as Jupyter notebooks and utility functions. The focus of the repository is on state-of-the-art methods and common scenarios that are popular among researchers and practitioners working on problems involving text and language. ... -
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LegionOS YSL
Legion OS unofficial builds for YSL
Legion OS unofficial build for YSL -
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Deep Learning with PyTorch Chinese
Translates the official PyTorch book "Deep learning with PyTorch"
Deep Learning with PyTorch Chinese is a Chinese translation and executable-code companion for the essential-excerpts edition of the official Deep Learning with PyTorch book. It introduces deep learning and PyTorch progressively for readers who do not already have machine-learning experience. Topics begin with PyTorch fundamentals and tensors before moving into representing real data, learning mechanisms, and neural-network fitting. The repository includes runnable code associated with the... -
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CrypTen
A framework for Privacy Preserving Machine Learning
...It provides a secure and intuitive environment for performing computations on encrypted data using Secure Multiparty Computation (SMPC). Designed to make secure computation accessible to machine learning practitioners, CrypTen introduces a CrypTensor object that behaves like a regular PyTorch tensor, allowing users to seamlessly apply automatic differentiation and neural network operations. Its design mirrors PyTorch’s modular and library-based structure, enabling flexible experimentation, debugging, and model development. The framework supports both encryption and decryption of tensors and operations such as addition and multiplication over encrypted values. ... -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. For example, check out... -
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OkDownload
A reliable, flexible, fast and powerful download engine
In fact OkDownload is FileDownloader2, which extends all benefits from FileDownloader and beyond. FileDownloader framework is not easy to write unit-test, it is not a testable framework, so it is not stable enough. The core library of FileDownloader is too complex and not pure enough, so 6K+ star 1K+ fork with around 10 PR. Unit test coverage is very high which means reliable. Simpler interface. Task priority support. Uri file to store output-stream. The core library is Pure and light. More... -
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I3D models trained on Kinetics
Convolutional neural network model for video classification
Kinetics-I3D, developed by Google DeepMind, provides trained models and implementation code for the Inflated 3D ConvNet (I3D) architecture introduced in the paper “Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset” (CVPR 2017). The I3D model extends the 2D convolutional structure of Inception-v1 into 3D, allowing it to capture spatial and temporal information from videos for action recognition. This repository includes pretrained I3D models on the Kinetics dataset, with... -
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Duklan
Project management web application
Web application for project management. Based on sokolovo framework. -
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VideoCalling
LAN p2p video chat
VideoCalling is a real-time communication project designed to demonstrate peer-to-peer video calling using WebRTC and modern web technologies. It provides a complete implementation of audio and video transmission, including signaling, media capture, and rendering within a browser-based environment. The project focuses on low-latency communication by leveraging direct peer connections, reducing reliance on centralized servers for media transfer. It includes backend components for signaling,... -
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Nebula worker
The worker node manager container which manages nebula nodes
Nebula is a open source distributed Docker orchestrator designed for massive scales (tens of thousands of servers/worker devices), unlike Mesos/Swarm/Kubernetes it has the ability to have workers distributed on high latency connections (such as the internet) yet have the pods(containers) be managed centrally with changes taking affect (almost) immediately, this makes Nebula ideal for managing a vast cluster of servers\devices across the globe, some example use cases are IoT devices,... -
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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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RWRMTN
Predicting disease-associated miRNAs on a miRNA-target gene network
The misregulations of microRNA have been shown the contribution to diseases. Recently, we have proposed a computational method based on a random walk framework on a microRNA-target gene network to predict disease-associated microRNAs. This was shown superior when compared to existing state-of-the-art network- and machine learning-based methods since it well exploits mutual regulation between miRNAs and their target genes in microRNA-target gene networks. To facilitate the use of this method, we develop a Cytoscape app, named RWRMTN, to predict disease-associated microRNAs. ... -
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React Boilerplate
A highly scalable, offline-first foundation with the best DX
React Boilerplate is a highly scalable, offline-first foundation for React.js applications. It offers the best developer experience with a focus on performance and best practices. React Boilerplate offers predictable state management so you can take control of your app’s state and keep state mutations manageable. It also features next generation JavaScript, so you can stop worrying about browser support or use features like arrow functions, JSX syntax and more. There’s also support for next generation CSS, and being offline first, it allows availability without network connection from the moment your users load the app. ... -
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NeuroNER
Named-entity recognition using neural networks
...Identified entities can be used in various downstream applications such as patient note de-identification and information extraction systems. They can also be used as features for machine learning systems for other natural language processing tasks. Leverages the state-of-the-art prediction capabilities of neural networks (a.k.a. "deep learning") Is cross-platform, open source, freely available, and straightforward to use. Enables the users to create or modify annotations for a new or existing corpus. Train the neural network that performs the NER. During the training, NeuroNER allows monitoring of the network. -
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PetERP
ERP with TPV for PetStores
This is an ERP with POS for pet stores. Created in Lazarus (Object Pascal). We are in a state of development, accept barcode scanner, cash drawer (opening) and ticket printers. Within its current characteristics allows: Management of Categories and Subcategories Product Management and categorization Customer Management and history Creation of personalized bar codes. Inventory Control We are working with the Inventory Review section. Developed in Lazarus (Object...
