Search Results for "descent"
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Showing 70 open source projects for "descent"
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Descent 3
Descent 3 by Outrage Entertainment
The Descent3 repository is the open source release of the Descent 3 game engine by Outrage Entertainment, maintained by the community under the GPL-3.0 license. It provides the full C and C++ engine source code, including the historically significant “1.5” patch that was previously created by developers and later stabilized by fans. The codebase covers the game’s rendering, physics, audio, networking, tools, and editor components, allowing enthusiasts to build, run, and modify the classic 6-degrees-of-freedom space shooter on modern systems. ... -
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Cthulhu.jl
The slow descent into madness
Cthulhu.jl is a powerful introspection tool for exploring the Julia compiler’s method dispatch and type inference system. It allows users to interactively descend into the type-inferred lowered and LLVM IR of Julia functions from the REPL. This makes it ideal for developers who want to optimize performance, debug type instability, or understand how Julia compiles code. Named after the Lovecraftian idea of descending into madness, Cthulhu reveals the "underworld" of Julia compilation. -
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Cozette
A bitmap programming font optimized for coziness
A bitmap programming font optimized for coziness. Cozette is a 6x13px (bounding box; average 5px character width, 3px descent, 10px ascent, 8px cap height) bitmap font based on Dina, which itself is based on Proggy. It's also heavily inspired by Creep. I absolutely adore Creep, and was using it up until I got a higher-DPI screen for which it was slightly too small. That prompted me to make the bitmap font I always wished existed: Cozette; a small-but-not-tiny bitmap font with great coverage of all the glyphs you might encounter in the terminal. ... -
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Rust-Peg
Parsing Expression Grammar (PEG) parser generator for Rust
rust-peg is a Parsing Expression Grammar (PEG) parser generator for Rust. It allows developers to define grammars in a concise syntax and generates efficient parsers, facilitating the creation of domain-specific languages and interpreters. -
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Lasso.jl
Lasso/Elastic Net linear and generalized linear models
Lasso.jl is a pure Julia implementation of the glmnet coordinate descent algorithm for fitting linear and generalized linear Lasso and Elastic Net models. -
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CellTypist
A tool for semi-automatic cell type classification, harmonization
...Harmonization, match and harmonize cell types defined by independent datasets. integration, integrate cell and cell types with supervision from harmonization. CellTypist recapitulates cell type structure and biology of independent datasets. Regularised linear models with Stochastic Gradient Descent provide a fast and accurate prediction. Scalable and flexible. Python-based implementation is easy to integrate into existing pipelines. A community-driven encyclopedia for cell types. -
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Vowpal Wabbit
Machine learning system which pushes the frontier of machine learning
...There can even be multiple sets of free-form text in different namespaces. Similar to the few other online algorithm implementations out there. There are several optimization algorithms available with the baseline being sparse gradient descent (GD) on a loss function. -
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Amnesia CLI
Modding CLI tool kit for Amnesia: The Dark Descent
A CLI tool kit for creation and management of Amnesia: The Dark Descent mods / custom stories. Manages game/engine log files, creates templates of mods, validates and cleans script files, assets, and more. -
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Pom
PEG parser combinators using operator overloading without macros
pom is a parser combinator library in Rust, utilizing operator overloading to build parsers in a modular and readable way. It facilitates the construction of complex parsers without macros. -
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MuJoCo MPC
Real-time behaviour synthesis with MuJoCo, using Predictive Control
...It allows researchers and roboticists to design, visualize, and execute complex control tasks for simulated or real robotic systems. MJPC integrates a high-performance GUI and multiple predictive control algorithms, including iLQG, gradient descent, and Predictive Sampling — a competitive, derivative-free method that achieves robust real-time control. The system supports multi-shooting optimization, enabling precise motion planning across diverse domains like quadruped locomotion, humanoid tracking, and dexterous manipulation. In addition to its C++ core, MJPC includes an experimental Python API, enabling integration with custom models and MuJoCo tasks for flexible scripting and experimentation. -
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Concorde-EFB
An Electronic Flight Bag for DC Design Concorde for MSFS 2024
The Concorde EFB (v2.0.2) is an Electronic Flight Bag designed for pilots operating the Concorde, particularly with DC Designs in Microsoft Flight Simulator. This add-on facilitates flight planning through features such as, performance, fuel and time calculations. It also includes an airport database, METAR fetching capabilities, and basic runway feasibility cues as a training aid. The tool is intended for convenience and is open-source for community contributions. -
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POH Performance
WebApps and native Apps for aircraft performance
...POH Performance computes all the useful performance numbers for flight planning for the Socata TBM, the Beechcraft Baron and Bonanza, and the Cessna 172 and 182 aircraft. It includes calculations for takeoff, landing, climb, cruise, descent, instrument procedures as well as emergencies. It also includes an interactive hold calculator, a risk analysis tool, and an emergency glide distance calculator that handles head and tailwinds. POH Performance is also available on other mobile devices and as a WebApp (an App that runs in a browser) that runs on a variety of platforms (PC, Mac, tablets, phones). ... -
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SAGECAL
GPU/MIC accelerated radio interferometric calibration program
SAGECal is a very fast, memory efficient and GPU accelerated radio interferometric calibration program. It can handle all source models including points, Gaussians and Shapelets. It can calibrate along hundreds of directions without running out of memory in almost real time. Intel Xeon Phi acceleration is also available. Distributed calibration using MPI and consensus optimization is enabled. Also tools to build/restore sky models are included. -
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Doctrine Lexer
Base library for a lexer that can be used in Recursive Descent Parsers
PHP Doctrine Lexer parser library that can be used in Top-Down, Recursive Descent Parsers. This lexer is used in Doctrine Annotations and in Doctrine ORM (DQL). To write your own parser you just need to extend Doctrine\Common\Lexer\AbstractLexer and implement three abstract methods. These methods define the lexical catchable and non-catchable patterns and a method for returning the type of a token and filtering the value if necessary. -
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hash_val_4_Bloom
search for hash values used in Bloom filter for QNR membership
...Search fur 32-bit vs 64-bit, hash values that make "perfect" Bloom filter. Variety of (simple) hash functions, requiring 2, 3, 4 or 5 hash values. Hideously vast search space. Non-differentiable, so no gradient descent algo's. -
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Neural Tangents
Fast and Easy Infinite Neural Networks in Python
Neural Tangents is a high-level neural network API for specifying complex, hierarchical models at both finite and infinite width, built in Python on top of JAX and XLA. It lets researchers define architectures from familiar building blocks—convolutions, pooling, residual connections, and nonlinearities—and obtain not only the finite network but also the corresponding Gaussian Process (GP) kernel of its infinite-width limit. With a single specification, you can compute NNGP and NTK kernels,... -
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spaGO
Self-contained Machine Learning and Natural Language Processing lib
A Machine Learning library written in pure Go designed to support relevant neural architectures in Natural Language Processing. Spago is self-contained, in that it uses its own lightweight computational graph both for training and inference, easy to understand from start to finish. The core module of Spago relies only on testify for unit testing. In other words, it has "zero dependencies", and we are committed to keeping it that way as much as possible. Spago uses a multi-module workspace to... -
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Gorgonia
Gorgonia is a library that helps facilitate machine learning in Go
Write and evaluate mathematical equations involving multidimensional arrays easily. Gorgonia is a library that helps facilitate machine learning in Go. Write and evaluate mathematical equations involving multidimensional arrays easily. If this sounds like Theano or TensorFlow, it's because the idea is quite similar. Specifically, the library is pretty low-level, like Theano, but has higher goals like Tensorflow. The primary goal for Gorgonia is to be a highly performant machine... -
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Model Rocket Spreadsheets
A LibreOffice Calc spreadsheet for Model Rocketry
The Model Rocketry Spreadsheets is a collection of model rocketry formulas that have been converted for use utilizing the LibreOffice Calc program. -
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Parser Generator
It is an LL(1) recursive descent parser generator in VB.NET
It is an LL(1) recursive descent parser generator written in VB.NET which can generate a scanner, parser, and parsetree file in either C# , Java or VB code. The original code and documentation can be found in the article 'A Tiny Parser Generator v1.2' on CodeProject. Requires dotNet2.0 -
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Machine Learning Glossary
Machine learning glossary
Machine Learning Glossary is an open educational project that provides clear explanations of machine learning terminology and concepts through visual diagrams and concise definitions. The goal of the repository is to make machine learning topics easier to understand by presenting definitions alongside examples, visual illustrations, and references for further learning. It covers a wide range of topics including neural networks, regression models, optimization techniques, loss functions, and... -
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lightning library
Large-scale linear classification, regression and ranking in Python
lightning is a library for large-scale linear classification, regression and ranking in Python. -
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ML++
A library created to revitalize C++ as a machine learning front end
...This is especially important in the world of ML, as new algorithms and techniques are being developed day by day. Here are a couple of things currently being developed for ML++. Call the optimizer that you would like to use. For iterative optimizers such as gradient descent, include the learning rate, epoch number, and whether or not to utilize the UI panel. -
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D2X-XL
OpenGL port of the classic 6dof 3D shooter Descent
D2X-XL is an OpenGL port of the classic 3D Shooter game Descent 2 for Win32, Linux and Mac OS X, containing many enhancements and bug fixes while preserving full backwards compatibility. -
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From PEG to a practical parser
Transcribe Parsing Expression Grammar into a parser written in Java.
Tool to transcribe Parsing Expression Grammar into a parser written in Java. Parsing Expression Grammar (PEG) is a way to specify recursive-descent parsers with limited backtracking. The use of backtracking lifts the LL(1) restriction usually imposed by top-down parsers. In addition, PEG can define parsers with integrated lexing. Unlike some existing parser generators for PEG, the tool does not produce a complex and storage-hungry "packrat parser", but a collection of transparent recursive procedures. ...
