Search Results for "forum source code" - Page 52
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Showing 2487 open source projects for "forum source code"
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HistogramsApp
Application that generates KDE-PDP plots from geochronological data
...P., Bonilla-Correa, S., Izquierdo-Camacho, D., ... & Montes, C. (2021). The Colombian geochronological database (CGD). International Geology Review, 1-35. And the Zenodo repository where the source code is available: 2) Rodriguez Corcho (2021). andresrcorcho/CGD_HistogramsApp: HistogramsApp_1.5 (1.5). Zenodo. https://doi.org/10.5281/zenodo.5171646 (https://zenodo.org/record/5171646#.YZ4X9r3P27M) -
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Vimplus
An automatic configuration program for vim
vimplus is an opinionated Vim “distribution” and automatic configuration program by chxuan which bundles a large number of plugins and configurations so that you can essentially install Vim once and have a fully-loaded development setup. Rather than starting with a bare .vimrc and gradually adding plugins, vimplus gives you a pre-configured environment that includes file explorers, completion, status lines, themes, and more. It includes a custom installer and update script, and places a lot... -
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LaiaMotifs
Search for MHC-like motifs in peptide collections
Search for MHC-like motifs in peptide collections (Python 3 version). For more information, you can have a look at the README.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/laiamotifs3/code/ci/default/tree/README.md -
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django-webpack-dev-server
Commandline App to set up React in a Django Project with 1 command.
Django Webpack Dev Server is a command line Django reusable app to setup configuration files for React. It uses webpack and webpack_dev_server to bundle your frontend code. After installing the app you need to run the following command: "python manage.py generate react" and that will create your react app in your project. -
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Tez
Tez is a super-simple and lightweight Trainer for PyTorch
Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch. tez (तेज़ / تیز) means sharp, fast & active. This is a simple, to-the-point, library to make your PyTorch training easy. This library is in early-stage currently! So, there might be breaking changes. Currently, tez supports cpu, single gpu and multi-gpu & tpu training. More coming soon! Using tez is super-easy. We don't want you to... -
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restless
A lightweight REST miniframework for Python
...The main Resource class has data methods (that you implement) for all the main RESTful actions. It also uses HTTP status codes as correctly as possible. Restless is BYOD (bring your own data) and hence, works with almost any ORM/data source. If you can import a module to work with the data & can represent it as JSON, Restless can work with it. Restless is small & easy to keep in your head. Common usages involve overriding just a few easily remembered method names. Total source code is an under a thousand lines of code. -
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gpt-j-api
API for the GPT-J language mode. Including a FastAPI backend
An API to interact with the GPT-J language model and variants! You can use and test the model in two different ways. These are the endpoints of the public API and require no authentication. Just SSH into a TPU VM. This code was tested on both the v2-8 and v3-8 variants. -
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KimBlast
Blast+ the easy way
KimBlast GUI formats and indexes Fasta databases for Blast, performs Blast searches and analyzes results. Python 3.x version. For more information, you can have a look at the README.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/kimblast3/code/ci/default/tree/README.md -
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aseryla
Aseryla code repositories
This project describes a model of how the semantic human memory represents the information relevant to the objects of the world in text format. It provides a system and a GUI application capable of extracting and managing concepts and relations from English texts. https://aseryla2.sourceforge.io/ -
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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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CleverHans
An adversarial example library for constructing attacks
This repository contains the source code for CleverHans, a Python library to benchmark machine learning systems' vulnerability to adversarial examples. You can learn more about such vulnerabilities on the accompanying blog. The CleverHans library is under continual development, always welcoming contributions of the latest attacks and defenses. In particular, we always welcome help with resolving the issues currently open. -
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U-Net Fusion RFI
U-Net for RFI Detection based on @jakeret's implementation
See original code here: https://github.com/jakeret/tf_unet Currently this project is based on Tensorflow 1.13 code base and there are no plans to transfer to TF version 2. The primary improvements to this code base include a training and evaluation framework, along with a fusion based approach to detection, combining a number of models (currently hard coded to two trained models) along with Sum Threshold as an additional "expert." Additional work is being done to add custom layers to... -
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Old Photo Restoration
Bringing Old Photo Back to Life (CVPR 2020 oral)
We propose to restore old photos that suffer from severe degradation through a deep learning approach. Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize. Therefore, we propose a novel triplet domain translation network by leveraging real photos along with massive synthetic image pairs. Specifically, we train two... -
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ML workspace
All-in-one web-based IDE specialized for machine learning
All-in-one web-based development environment for machine learning. The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard)... -
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nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
nlp-tutorial is an educational repository that implements influential natural language processing models in concise PyTorch examples. Most implementations use fewer than 100 lines of executable code, making the architectures easier to inspect and modify. The curriculum begins with neural language models, Word2Vec, and FastText. It then covers TextCNN, recurrent networks, LSTM, bidirectional LSTM, sequence-to-sequence learning, and attention. Later examples implement the Transformer and BERT... -
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Pytago
A source-to-source transpiler for Python to Go translation
pytago is a source-to-source transpiler that converts some Python into human-readable Go. It enables developers to translate Python codebases into Go, facilitating migration or interoperability between the two languages. -
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Pythopad
A free Python source code editor and Notepad replacement for Windows
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Neuro-comma
Punctuation restoration production-ready model for Russian language
This library was developed with the idea to help us to create punctuation restoration models to memorize trained parameters, data, training visualization, etc. The Library doesn't use any high-level frameworks, such as PyTorch-lightning or Keras, to reduce the level entry threshold. Feel free to fork this repo and edit model or dataset classes for your purposes. Our team always uses the latest version and features of Python. We started with Python 3.9, but realized, that there is no FastAPI... -
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ClamGuard
Free and opensource antivirus solution based on ClamAV.
Free and opensource antivirus solution based on ClamAV. Fully written in Python using PySide6. Source code hosted on GitHub at https://github.com/5trange/ClamGuard Linux packages coming soon. -
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Machine-Learning
kNN, decision tree, Bayesian, logistic regression, SVM
Machine-Learning is a repository focused on practical machine learning implementations in Python, covering classic algorithms like k-Nearest Neighbors, decision trees, naive Bayes, logistic regression, support vector machines, linear and tree-based regressions, and likely corresponding code examples and documentation. It targets learners or practitioners who want to understand and implement ML algorithms from scratch or via standard libraries, gaining hands-on experience rather than relying... -
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Kashgari
Kashgari is a production-level NLP Transfer learning framework
Kashgari is a simple and powerful NLP Transfer learning framework, build a state-of-art model in 5 minutes for named entity recognition (NER), part-of-speech tagging (PoS), and text classification tasks. -
22
Marathi MTLD tool (for GNU/Linux)
A tool for measuring MTLD score of Marathi-Devanagari text
...The program performs the lemmatization process on input text before calculating its MTLD score. The program accepts Devanagari Marathi text as an input text and returns the output on the program window itself. The source code and user manual of the Marathi MTLD tool can be accessed from https://gitlab.com/priyankaD3/mr-mtld. For Windows, the executable file is available at https://sourceforge.net/projects/mr-mtld-windows -
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VITS
Conditional Variational Autoencoder with Adversarial Learning
VITS is a foundational research implementation of “VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech,” a well-known neural TTS architecture. Unlike traditional two-stage systems that separately train an acoustic model and a vocoder, VITS trains an end-to-end model that maps text directly to waveform using a conditional variational autoencoder combined with normalizing flows and adversarial training. This architecture enables parallel generation... -
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Gooey
Turn Python command line programs into a full GUI application
Gooey is a tool for transforming command line interfaces into beautiful desktop applications. It can be used as the frontend client for any language or program. Whether you've built your application in Java, Node, or Haskell, or you just want to put a pretty interface on an existing tool like FFMPEG, Gooey can be used to create a fast, practically free UI with just a little bit of Python (about 20 lines!). To show how this all fits together, and that it really works for anything, we're... -
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deoplete.nvim
Dark powered asynchronous completion framework for neovim/Vim8
deoplete.nvim is an asynchronous completion framework for Neovim and Vim 8. It was designed to provide extensible code-completion behavior while avoiding the blocking feel of older synchronous completion plugins. The framework can display completion candidates through Vim’s built-in completion interface and can be extended with dedicated completion sources. It supports a plugin ecosystem where different languages, tools, and contexts can provide their own candidate sources. deoplete.nvim is...
