Search Results for "descent"
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Showing 27 open source projects for "descent"
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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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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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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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soulng
Lexer and parser generator tool for C++
...The spg tool takes .parser files that contain descriptions of parsers as input and produces C++ source code for parser classes as output. The parser generator produces a recursive descent top-down backtracking parser that use the lexical analyzer generated by slg to tokenize the input. -
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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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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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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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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. ... -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
...PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. For example, check out this example code for training on the Stanford Natural Language Inference (SNLI) Corpus. Now you've setup your pipeline, you may want to ensure that some functions run deterministically. Wrap any code that's random, with fork_rng and you'll be good to go. Now that you've computed your vocabulary, you may want to make use of pre-trained word vectors to set your embeddings. -
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Mocha.jl
Deep Learning framework for Julia
Mocha.jl is a deep learning framework for Julia, inspired by the C++ Caffe framework. It offers efficient implementations of gradient descent solvers and common neural network layers, supports optional unsupervised pre-training, and allows switching to a GPU backend for accelerated performance. The development of Mocha.jl happens in relative early days of Julia. Now that both Julia and the ecosystem has evolved significantly, and with some exciting new tech such as writing GPU kernels directly in Julia and general auto-differentiation supports, the Mocha codebase becomes excessively old and primitive. ... -
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Human Speakable Programming Language
foundation of the General Intelligence Operating System
HSPL is Human Speakable Programming Language, allowing for communication between human-to-computer and human-to-human in the same language. This project has moved to http://sourceforge.net/p/spel We are currently working on human-to-computer programming-language with mostly English base vocabulary. Though once we have that, we plan to add support for other world Languages, including Chinese, Spanish, Russian, Arabic, Hindi, among others. Eventually HSPL shall be the... -
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CURRENNT
CUDA-enabled machine learning library for recurrent neural networks
CURRENNT is a machine learning library for Recurrent Neural Networks (RNNs) which uses NVIDIA graphics cards to accelerate the computations. The library implements uni- and bidirectional Long Short-Term Memory (LSTM) architectures and supports deep networks as well as very large data sets that do not fit into main memory. -
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BudgetedSVM
BudgetedSVM: A C++ Toolbox for Large-scale, Non-linear Classification
We present BudgetedSVM, a C++ toolbox containing highly optimized implementations of three recently proposed algorithms for scalable training of Support Vector Machine (SVM) approximators: Adaptive Multi-hyperplane Machines (AMM), Budgeted Stochastic Gradient Descent (BSGD), and Low-rank Linearization SVM (LLSVM). BudgetedSVM trains models with accuracy comparable to LibSVM in time comparable to LibLinear, as it allows solving highly non-linear classi fication problems with millions of high-dimensional examples within minutes on a regular personal computer. We provide command-line and Matlab interfaces to BudgetedSVM, efficient API for handling large-scale, high-dimensional data sets, as well as detailed documentation to help developers use and further extend the toolbox. -
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Soul is a recursive descent parser generator tool for Windows and Linux that comes with a parsing library.
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Common Text Transformation Library of C++ classes and functions to parse and modify STL strings. CTTL substring classes may be compared, inserted, replaced, and parsed with EBNF grammars. Compiled program implements recursive descent LL(INF) parser.
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The Open Descent Foundation (ODF) is a community for developers, who want to help to create open source programs, tools, etc. for the famous games Descent1, -2 or -3. Everyone can join the ODF if he accepts the idea of writing open source programs.
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A small educational compiler for a subset of the Pascal language. A native x86 machine code generator directly emits COM executables for MS-DOS. The compiler supports VGA graphics, floating-point arithmetic, etc. 32-bit Pascal source is provided.
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Verto is a compiler that uses a top-down recursive descent parser implemented in Java for educational purposes. It translates Verto language (a subset of the C language) into Caesar machine language. Verto is the Latin word for interpret.
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Spirit is an object oriented recursive descent parser generator framework implemented using template meta-programming techniques.
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JetPAG is a recursive-descent parser and lexical analyzer generator focused on high efficiency, usability and readability of generated code. JetPAG generates fast recognizers and aids developers with useful tools for simplifying input interpretation.
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A functional library to do functional programming in Java. Higher-order function, currying, pattern-match, monads are supported. Also, a recursive descent monadic parser combinator library is included. Homepage: http://jparsec.codehaus.org
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The Parameter Tuning Unity (PTU) aims to adapt the parameters of ever connected multi-agents system, or expert system with a plugged optimization heuristic likes the descent of gradient for instance.
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YACCL is a simple Java recursive descent parser, in the tradition of other RDP technologies such as ANTLR and JavaCC. It differs from these in a number of ways: it is smaller and simpler (though not necessarily faster).
