Search Results for "code new roman" - Page 9
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Showing 292 open source projects for "code new roman"
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Project Malmo
A platform for Artificial Intelligence experimentation on Minecraft
...The Project Malmo platform consists of a mod for the Java version, and code that helps artificial intelligence agents sense and act within the Minecraft environment. The two components can run on Windows, Linux, or Mac OS, and researchers can program their agents in any programming language they’re comfortable with. -
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Light Bright in Python
The classic toy reinvented in free software!
...This project was made just for the occasion! I had a blast making it and I hope everyone enjoys this FOSS just as much. The simple design and well-commented code is a great example of turning an everyday object into a shareable program for others to enjoy. Requires Python 3.7 and Pygame 1.9.6. These are FREE: Python Download: https://www.python.org/downloads/ Python/Pygame install YouTube tutorial: https://www.youtube.com/watch?v=AdUZArA-kZw -
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captcha_break
Identification codes
This project will use Keras to build a deep convolutional neural network to identify the captcha verification code. It is recommended to use a graphics card to run the project. The following visualization codes are jupyter notebookall done in . If you want to write a python script, you can run it normally with a little modification. Of course, you can also remove these visualization codes. captcha is a library written in python to generate verification codes. It supports image verification... -
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TGAN
Generative adversarial training for generating synthetic tabular data
...Also, although it is not strictly required, the usage of a virtualenv is highly recommended in order to avoid interfering with other software installed in the system where TGAN is run. For development, you can use make install-develop instead in order to install all the required dependencies for testing and code listing. In order to be able to sample new synthetic data, TGAN first needs to be fitted to existing data. -
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automl-gs
Provide an input CSV and a target field to predict, generate a model
Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning or deep learning model plus native Python code pipelines allowing you to integrate that model into any prediction workflow. No black box: you can see exactly how the data is processed, and how the model is constructed, and you can make tweaks as necessary. automl-gs is an AutoML tool which, unlike Microsoft's NNI, Uber's Ludwig, and TPOT, offers a zero code/model... -
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LaueTools
open source python packages for X-ray MicroLaue Diffraction analysis
LaueTools is an open-source project for white beam Laue x-ray microdiffraction data analysis including tools in image processing, peaks searching & indexing, crystal structure solving (orientation & strain) and data & grain mapping visualisation. Python 3 Code and new features are now at: https://gitlab.esrf.fr/micha/lauetools -
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ECS:Python
Light-weight C++ library for embedding Python into C++
...ECS:Python requires a Python distribution to be installed on your system. Python can be downloaded from: www.python.org/download What's new in v3.0: * Fixed x64 pointer types. * Added CI and unit tests. * Cleaned up project structure and code formatting. * Switch to C++11 std::mutex. -
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Django JET
Modern responsive template for the Django admin interface
Django JET has two kinds of licenses: open-source (AGPLv3) and commercial. Please note that using AGPLv3 code in your programs makes them AGPL compatible too. So if you don't want to comply with that we can provide you a commercial license (visit the Home page). The commercial license is designed for using Django JET in commercial products and applications without the provisions of the AGPLv3. Add URL-pattern to the URL patterns of your Django project urls.py file (they are needed for... -
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The GAN Zoo
A list of all named GANs
The GAN Zoo is an open-source repository that compiles a comprehensive list of Generative Adversarial Network models published in research literature. The project began as a community effort to track the rapidly growing number of GAN architectures appearing in machine learning papers. Because new GAN models are frequently introduced in research publications, the repository serves as a convenient catalog that organizes them in one location. The list includes references to many GAN variants along with links to their original research papers and sometimes implementation code. Users can browse the dataset or explore a tabular version that allows filtering by year or searching for specific model names. ... -
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Skater
Python library for model interpretation/explanations
...It is an open-source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual prediction). The concept of model interpretability in the field of machine learning is still new, largely subjective, and, at times, controversial. Model interpretation is the ability to explain and validate the decisions of a predictive model to enable fairness, accountability, and transparency in algorithmic decision-making. The library has embraced object-oriented and functional programming paradigms as deemed necessary to provide scalability and concurrency while keeping code brevity in mind. -
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LearningToCompare_FSL
Learning to Compare: Relation Network for Few-Shot Learning
...The core idea implemented here is the relation network, which learns to compare pairs of feature embeddings and output relation scores that indicate whether two images belong to the same class, enabling classification from only a handful of labeled examples. The repository provides training and evaluation code for standard few-shot benchmarks such as miniImageNet and Omniglot, making it possible to reproduce the experimental results reported in the paper. It includes model definitions, data loading logic, episodic training loops, and scripts that implement the N-way K-shot evaluation protocol common in few-shot research. Researchers can use this codebase as a starting point to test new ideas, modify relation modules, or transfer the approach to new datasets. -
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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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Compare GAN
Compare GAN code
compare_gan is a research codebase that standardizes how Generative Adversarial Networks are trained and evaluated so results are comparable across papers and datasets. It offers reference implementations for popular GAN architectures and losses, plus a consistent training harness to remove confounding differences in optimization or preprocessing. The library’s evaluation suite includes widely used metrics and diagnostics that quantify sample quality, diversity, and mode coverage. With... -
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PyEdit Editor
Configurable Editor in Python
PyEdit is a fully featured fast text editor written in Python. It can be used in any platform that has GTK. Because it is written in Python, it is easily configurable. Features code spell check and macro recording. Tested in Win/Lin/Mac --- Update: Using the editor full time V23 is mature enough for production --- Update: Had to downgrade to PyGTK 2.22.xx as 2,24,x had a double click message bug. (uploaded 22.2 to this project) --- Update: V33 is working as a champ. New features, tablet like drag .. -
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aioulinux
Linux for Arduino and Makers developers
Hello, I'm the Aioulinux founder, eager to professionally revive the project. Since 2018, the demand for an IoT and Arduino-tailored environment has been evident. Seeking partners for a 2024 version targeting schools and IoT companies, aiming for a secure and comprehensive platform. If you share this vision and wish to collaborate, reach out. Let's revive Aioulinux stronger than ever! Now seeking partners: Live Distro Specialist: Expert in live distributions to ensure... -
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EvalAI
Evaluating state of the art in AI
...If the challenge needs extra computational power, challenge organizers can easily add their own cluster of worker nodes to process participant submissions while we take care of hosting the challenge, handling user submissions, and maintaining the leaderboard. EvalAI lets participants submit code for their agent in the form of docker images which are evaluated against test environments on the evaluation server. During the evaluation, the worker fetches the image, test environment, and model snapshot and spins up a new container to perform the evaluation. -
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Holarse
website software for holarse
HolaCMS 3 Source Code which will power the new Holarse website. -
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owfs and owhttpd
Project moved to https://github.com/owfs/owfs/
Please note that OWFS source code, and all Issue/Tickets/merge requests have now been moved to https://github.com/owfs/owfs/. Developer mailing lists will still be kept at Sourceforge. ---- OWFS -- 1-Wire file system. Use the Dallas 1-Wire and iButton chips with standard filesystem commands. Create temperature loggers. Monitor everything. OWHTTPD -- same system, only used as a light weight web server. OWFS is also ported to embedded routers, Mac OSX and Windows. Basically you can use... -
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PyTorch Book
PyTorch tutorials and fun projects including neural talk
...The new version of the code has not been fully tested, it has been tested under GPU and python3. But in theory there shouldn't be too many problems on python2 and CPU. The basic part (the first five chapters) explains the content of PyTorch. This part introduces the main modules in PyTorch and some tools commonly used in deep learning. For this part of the content, Jupyter Notebook is used as a teaching tool here, and readers can modify and run with notebooks and repeat experiments. -
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ANGie
Alice Next Generation (internet entity)
An AIML based chat bot building on the original Alice AIML 1.0.1 set produced by Dr. Wallace and the ALICE AI Foundation and the PyAIML code base written by Cort Stratton, the ANGie project incorporates additional AIML sets, adds its own AIML to the set, adds new AIML tags and additional code to provide more dynamic responses and more logical case-based-reasoning. Reading through most AIML sets it seems like the authors' intention was to have a response to every input that a bot has ever seen. ... -
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Intel neon
Intel® Nervana™ reference deep learning framework
neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu... -
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icemac.addressbook
Multi user address book application accessable through the web.
Multi user address book application accessable through the web. Store, edit, search and export addresses, phone numbers, … using a web browser. Code moved to https://bitbucket.org/icemac/icemac.addressbook Documentation see https://icemacaddressbook.readthedocs.io/en/latest/ New releases (after 6.0.2) see https://pypi.org/project/icemac.addressbook/#history -
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Tangent
Source-to-source debuggable derivatives in pure Python
Existing libraries implement automatic differentiation by tracing a program's execution (at runtime, like PyTorch) or by staging out a dynamic data-flow graph and then differentiating the graph (ahead-of-time, like TensorFlow). In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative... -
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Construct2D
COmputational fluid dyNamics STRUctured grid CreaTor for 2D airfoils
Construct2D is a grid generator designed to create 2D grids for CFD computations on airfoils. The grids are generated in Plot3D format. The only required input file is the set of coordinates defining the airfoil geometry, using the same format as XFoil, the popular vortex-panel code for airfoil analysis. Construct2D can create grids with O topology (recommended for airfoils with a blunt trailing edge) or C topology (recommended for airfoils with a sharp trailing edge). Now available in... -
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pycodestyle
Simple Python style checker in one Python file
pycodestyle (formerly pep8) is a tool to check your Python code against some of the style conventions in PEP 8. This package used to be called pep8 but was renamed to pycodestyle to reduce confusion. Plugin architecture, adding new checks is easy. Parseable output, jump to error location in your editor. Just one Python file, requires only stdlib. You can use just the pycodestyle.py file for this purpose.
