Search Results for "radeon-project" - Page 3
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Showing 150 open source projects for "radeon-project"
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Think Bayes
Code repository for Think Bayes
ThinkBayes is the code repository accompanying Think Bayes: a book on Bayesian statistics written in a computational style. Instead of heavy focus on continuous mathematics or calculus, the book emphasizes learning Bayesian inference by writing Python programs. The project includes code examples, scripts, and environments that correspond to the chapters of the book. Learners can run the code, experiment with probability distributions, compute posterior probabilities, and understand Bayesian updating via simulation and algorithmic methods. The book and code encourage thinking in terms of discrete approximations (sums over distributions) rather than continuous integrals, making it more accessible to many programmers. ... -
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PyTorch GAN Zoo
A mix of GAN implementations including progressive growing
PyTorch GAN Zoo is a comprehensive open research toolbox designed for experimenting with and developing Generative Adversarial Networks (GANs) using PyTorch. The project provides modular implementations of popular GAN architectures, including Progressive Growing of GANs (PGAN), DCGAN, and an experimental StyleGAN version. It is built to support both researchers and developers who want to train, evaluate, and extend GANs efficiently across diverse datasets such as CelebA-HQ, FashionGen, DTD, and CIFAR-10. ... -
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BPF Performance Tools
Official repository for the BPF Performance Tools book
...The repository showcases how eBPF enables safe, low-overhead tracing directly inside the Linux kernel without requiring intrusive instrumentation. It includes tools for profiling, latency analysis, syscall tracing, and troubleshooting distributed systems or production environments. Overall, the project is regarded as a foundational resource for understanding advanced Linux performance engineering and observability techniques. -
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A Machine Learning Course with Python
A course about machine learning with Python
...In this project, we built our tutorials using many different well-known Machine Learning frameworks such as Scikit-learn. In this project you will learn what is the definition of Machine Learning? When it started and what is the trending evolution? What are the Machine Learning categories and subcategories? What are the mostly used Machine Learning algorithms and how to implement them? -
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Neural MMO
Code for the paper "Neural MMO: A Massively Multiagent Game..."
...The environment is inspired by Massively Multiplayer Online Role-Playing Games (MMORPGs), featuring resource gathering, combat mechanics, exploration, and survival challenges. Agents learn behaviors in a shared ecosystem that supports long-term training and emergent dynamics across large populations. The project is built to test scalability in multi-agent reinforcement learning, with features such as procedurally generated terrain and configurable game mechanics. While the original release has since been succeeded by newer versions maintained outside OpenAI, it remains a landmark framework for studying large-scale agent interactions in complex environments. -
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Game Programmer
A Study Path for Game Programmer
...The path covers computer science, programming languages, software development, mathematics, game programming, game engine development, computer graphics, audio, physics, animation, AI, and multiplayer networking. It helps learners understand the breadth of skills involved in serious game development beyond simply using an engine. The project is useful for self-taught developers who need a long-term curriculum and a way to identify gaps in their knowledge. Its main value is organizing a complex discipline into a visual, staged study map. -
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Evolution Strategies Starter
Code for the paper "Evolution Strategies.."
evolution-strategies-starter is an archived OpenAI research project that provides a distributed implementation of the algorithm described in the paper “Evolution Strategies as a Scalable Alternative to Reinforcement Learning” by Tim Salimans, Jonathan Ho, Xi Chen, and Ilya Sutskever. The repository demonstrates how to scale Evolution Strategies (ES) for reinforcement learning tasks using a master-worker architecture, where the master node broadcasts parameters to multiple workers, and the workers return performance results after evaluation. ... -
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If you are looking for the childsplay application please go to http://www.childsplay.mobi
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Tasks
Program to manage tasks
Tasks aims management of tasks easy. It allows for more advanced features such as tagging tasks with custom categories, importance, subtasks and dates while also making it easy to create them. All a tasks need to be present is a title! -
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The Deep Review
A collaboratively written review paper on deep learning, genomics, etc
This repository is home to the Deep Review, a review article on deep learning in precision medicine. The Deep Review is collaboratively written on GitHub using a tool called Manubot (see below). The project operates on an open contribution model, welcoming contributions from anyone. To see what's incoming, check the open pull requests. For project discussion and planning see the Issues. As of writing, we are aiming to publish an update of the deep review. We will continue to make project preprints available on bioRxiv or another preprint service and aim to continue publishing the finished reviews in a peer-reviewed venue as well. ... -
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Learning to Learn in TensorFlow
Learning to Learn in TensorFlow
...The repository provides code for training and evaluating learned optimizers that can generalize across different problem types, such as quadratic functions and image classification tasks (MNIST and CIFAR-10). Using TensorFlow, it defines a meta-optimizer model that learns by observing and adapting to the optimization trajectories of other models. The project allows users to compare performance between traditional optimizers and the learned optimizer (L2L) on various benchmarks, demonstrating how optimization strategies can be learned through experience. The design supports both single-variable and high-dimensional problems, and includes tools for evaluating how well a learned optimizer performs on unseen tasks. -
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TensorFlow World
Simple and ready-to-use tutorials for TensorFlow
This repository aims to provide simple and ready-to-use tutorials for TensorFlow. The explanations are present in the wiki associated with this repository. There are different motivations for this open source project. TensorFlow (as we write this document) is one of / the best deep learning frameworks available. The question that should be asked is why has this repository been created when there are so many other tutorials about TensorFlow available on the web? Deep Learning is in very high interest these days - there's a crucial need for rapid and optimized implementations of the algorithms and architectures. ... -
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Mathmaker
Generator of maths worksheets and their detailed solutions
This project aims to produce elementary math worksheets & answers automatically. It is meant to be used - by pupils to get as many sheets as they want - by teachers to re-use the produced sheets in their own work. Documentation for users is there: http://mathmaker.readthedocs.io/en/master/user_index.html -
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mediaTUM is free software written in Python for archiving and retrieval of images, documents and other research data. It was originally developed in the framework of the DFG project IntegraTUM and is continuously expanded with new functionalities as required.
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JDFeditor
GUI application for editing database files.
The purpose is to be a cross-platform, quick and simple database manager, main goal is to provide developers with a tool to produce small to medium size databases efficiently. If you need a database at its simplest form, without any extra hassle of knowing how to access the produced library. Then JDFeditor is the right tool for you. JDFeditor is bundled with an easy-to-use Python library: jdf_lib. jdf_lib will quickly load the content of your database into a variable. All you need... -
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Cryptography Tools
Classic & Modern Cryptography tools
Cryptography Tools is a project to develop demonstration tools on classic (currently Caesar and Playfair) & modern crypto-systems, including private & public key encryptions, digital signatures, cryptographic hashes and authenticated encryption. -
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This project concerns the development of human language technology resources, based on the approach to share or recycle resources between closely related language. http://gerhard.pro/closely-related-languages/
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AlgVar
Algorithmic Variations
An educational project aimed at illustrating programming language concepts and implementation techniques in different programming languages. -
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Collective Mind Technology
plugin-based framework for systematic and reproducible experimentation
New version moved to http://github.com/ctuning/ck Collective Mind framework (cM) is an open-source plugin-based schema-free repository and infrastructure for collaborative, systematic and reproducible research and experimentation. This 3rd version (started in 2006) helps to implement, preserve, share and reproduce the whole experimental setup as connected modules and data. cM uses crowdsourcing to leverage knowledge and computational resources of multiple users. For example, it... -
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isbntools
A command line tool to extract, transform and get metadata for ISBNs
As of 2015-06-02, this project is no longer under active development. -
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OSTIS - Open Semantic Technology for Intelligent Systems. This is an open project focused on mass semantic technology creation used in component-based design of various intelligent systems.
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FABS
Fluorescence and absorption spectroscopy made easy
FABS is a program designed to run a fluorescence/absorption spectrometer on Windows. The program analyzes spectra and provides graphs and data files. Users may choose to input video files from cell phones or other cameras, still images, or even live streams of video from webcams. FABS can perform any necessary calibration and image preprocessing. Experienced users have a number of more advanced options such as background subtraction, adjustments for nonlinearities in detector response,... -
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Aelius Brazilian Portuguese POS-Tagger
Python, NLTK-based package for shallow parsing of Brazilian Portuguese
Aelius is an ongoing open source project aiming at developing a suite of Python, NLTK-based modules and interfaces to external freely available tools for shallow parsing of Brazilian Portuguese. It also includes language resources such as language models, sample texts, and gold standards. Presently, Aelius already offers facilities for POS-tagging and chunking corpora and outputting annotations in different formats, such as in XML in the TEI P5 encoding scheme. -
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GGI stands for "General Graphics Interface", and it is a project that aims to develop a reliable, stable and fast graphics system that works everywhere. We want to allow any program using GGI to run on any platform requiring at most a recompile.
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Python Console Library Project
Console functions
Compendium of console functions for Python (similar to BC conio.h) Actually: atof(s): btoi(ch): btos(ch): charfilter(ch): clrscr(n=150): cmp(a, b): finput(b=""): getarrow(): getch(): gotoxy(x=0,y=0): imput(b=""): ink(x=7): isint(x=0): islin ():...
