Search Results for "work breakdown structure" - Page 2
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Showing 38 open source projects for "work breakdown structure"
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Semantic Segmentation in PyTorch
Semantic segmentation models, datasets & losses implemented in PyTorch
Semantic segmentation models, datasets and losses implemented in PyTorch. PyTorch and Torchvision needs to be installed before running the scripts, together with PIL and opencv for data-preprocessing and tqdm for showing the training progress. PyTorch v1.1 is supported (using the new supported tensoboard); can work with earlier versions, but instead of using tensoboard, use tensoboardX. Poly learning rate, where the learning rate is scaled down linearly from the starting value down to zero... -
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TimothyDocs
Timothy is a cloud base storage system designed to document your work
Timothy is a cloud based documentation system. Timothy will document any endeavor because it will store not only the documents created during the project but also store information about those files. Like most storge schemes timothy creates a hierarchy of categories through which one may browse. Timothy displays information about the document or category as well as its name. This use of meta data explains the structure and content of the project to the user as he browses. Users... -
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DeepFaceLab
The leading software for creating deepfakes
DeepFaceLab is currently the world's leading software for creating deepfakes, with over 95% of deepfake videos created with DeepFaceLab. DeepFaceLab is an open-source deepfake system that enables users to swap the faces on images and on video. It offers an imperative and easy-to-use pipeline that even those without a comprehensive understanding of the deep learning framework or model implementation can use; and yet also provides a flexible and loose coupling structure for those who want to... -
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Data Algorithm/leetcode/lintcode
Data Structure and Algorithm notes
This work is some notes of learning and practicing data structures and algorithms. Part I is a brief introduction of basic data structures and algorithms, such as, linked lists, stack, queues, trees, sorting and etc. This book notes about learning data structure and algorithms. It was written in Simplified Chinese but other languages such as English and Traditional Chinese are also working in progress. -
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Generative Models
Collection of generative models, e.g. GAN, VAE in Pytorch
This project is a comprehensive open-source collection of implementations of various generative machine learning models designed to help researchers and developers experiment with deep generative techniques. The repository contains practical implementations of well-known architectures such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Restricted Boltzmann Machines, and Helmholtz Machines, implemented primarily using modern deep learning frameworks like PyTorch... -
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GT NLP Class
Course materials for Georgia Tech CS 4650 and 7650
This repository contains lecture notes, slides, assignments, and code for a university-level Natural Language Processing course. It spans core NLP topics such as language modeling, sequence tagging, parsing, semantics, and discourse, alongside modern machine learning methods used to solve them. Students work through programming exercises and problem sets that build intuition for both classical algorithms (like HMMs and CRFs) and neural approaches (like word embeddings and sequence models).... -
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mergepbx
script for merging XCode project files in git
...However, as I didn't want to let the work go to waste, this script is now published as open source under the GNU GPL 3. This script needs knowledge about the structure of Xcode's project. However, there doesn't seem to be any documentation (and I would be surprised if there were any). -
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Stingray - Schema-Based File Reader
Simple handling of numerous data file formats, even COBOL EBCDIC.
Stingray contains a number of components for reading spreadsheets and other flat files. It copes with COBOL files (in EBCDIC) and even COBOL Copybook (or DDE) definitions. Simple Python programs can handle a wide variety of files. This is the Python3.3 release. -
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File based backup 52
Content Based File level Data Backup in Python
...It will take a directory as input, and will back up the files in that folder and all sub-folders to the backup destination directory. It can compress each file individually while backing-up. Mirrors the source directory structure under the target directory. Creates 1 archive file for each source file. Even if the backup/restore program or backup database is not available or lost, the backup files and structure can still be recovered. Huge plus for reliability. Uses a SQL database to manage backup file information. The files are managed through their checksum (SHA256). ... -
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Mollino
Not your usual Architectural Modeler
Why do Archicad and Revit only share 30 or 40% of the global architectural sofware market ? Maybe because lots of small practices find these software unadapted to the way they work, and to their bank account. I think there's place for an open software that doesn't work like the existing. It will be simple in its tools and processes, and will have infinite capabilities. This will be possible by defining a logical structure. As I am an architect, and I know very little about programming, and wouldn't reach even in 10 years the necessary level to be able to write anything useful for this type of software, my part will be to bring ideas and coherence to this project. ... -
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SUIT (Scripting Using Integrated Templates) is a template framework that allows you to define your own syntax through user-defined rules. There are PHP and Python versions. This page is also the home of subprojects, Such as TIE, a template manager.
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This is intended to ease the development of web applications using CherryPy (web server) and Elixir (DB access) with python. It will contain structures to easily setup the database structure and populate with data, and to configure the server
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cosmos
Algorithms that run our universe | Your personal library of every algo
Cosmos (by OpenGenus Foundation) is your personal offline collection of every algorithm and data structure one will ever encounter and use in a lifetime. This provides solutions in various languages spanning C, C++, Java, JavaScript, Swift, Python, Go and others. This work is maintained by a community of hundreds of people and is a massive collaborative effort to bring the readily available coding knowledge offline.
