Search Results for "descent"
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Showing 80 open source projects for "descent"
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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... -
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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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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. The Lexer is responsible for giving you an API to walk... -
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CellTypist
A tool for semi-automatic cell type classification, harmonization
CellTypist is an automated tool for cell type classification, harmonization, and integration. Classification, transfer cell type labels from the reference to query dataset. 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... -
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Vowpal Wabbit
Machine learning system which pushes the frontier of machine learning
... for the learning algorithm is substantially more flexible than might be expected. Examples can have features consisting of free-form text, which is interpreted in a bag-of-words way. 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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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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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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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
... changing. 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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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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hash_val_4_Bloom
search for hash values used in Bloom filter for QNR membership
.... Non-differentiable, so no gradient descent algo's. -
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POH Performance
WebApps and native Apps for aircraft performance
WebApps/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... -
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soulng
Lexer and parser generator tool for C++
... and return corresponding token identifiers to the parser. 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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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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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... -
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SINGA
A distributed deep learning platform
Apache SINGA is an Apache Top Level Project, focusing on distributed training of deep learning and machine learning models. Various example deep learning models are provided in SINGA repo on Github and on Google Colab. SINGA supports data parallel training across multiple GPUs (on a single node or across different nodes). SINGA supports various popular optimizers including stochastic gradient descent with momentum, Adam, RMSProp, and AdaGrad, etc. SINGA records the computation graph and applies... -
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JavaBoolCompiler
Boolean expression compiler written in Java
Parses and evaluates boolean expressions. Usage: BoolCompiler compiler = new BoolCompiler(); BoolProgram program = compiler.compile("a == b && a != c"); HashMap<String, Boolean> context = new HashMap<String, Boolean>(); context.put("a", true); context.put("b", true); context.put("c", false); boolean result = program.eval(context); System.out.println("result = "+result); -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. 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... -
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Microsoft Cognitive Toolkit (CNTK)
Open-source toolkit for commercial-grade distributed deep learning
CNTK describes neural networks as a series of computational steps via a digraph which are a set of nodes or vertices that are connected with the edges directed between different vertexes. Create and combine models such as: -Feed-Forward DNNs -Convolutional neural networks -Recurrent neural networks -
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GSMLBook
Recipes for basic machine learning algorithms using sklearn in jupyter
... descent); classification and regression trees; random forests; neural networks; probabilistic methods (KNN, naive Bayes', QDA, LDA); dimensionality reduction with PCA; support vector machines; and clustering with K-Means, hierarchical, and DBScan. Appendices provide a review of probability and linear algebra. While some mathematical foundation is provided, it is not essential for understanding the implementations. The target audience is advanced community college and university students. -
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sijinn
SImple Java Implementation of Neural Network
Alfa version - work in progress. Perseptron network structure. Can be saved in xml format. Training strategies: - Gradient Descent (Batch, Stochastic) - Genetic Breeding Training algorithms: - BPROP (back propagation) - QPROP (quick propagation) - RPROP (resilient propagation) - GENE (genetic neural) Demo: https://sijinn.herokuapp.com/ http://sijinn.appspot.com/network GitHub: https://github.com/surban1974/sijinn Maven <repositories> <repository> <id>neohort-mvn... -
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abnf parser recursive descent with backtrack with simple c preprocessing directives This abnf parser generates a abnf parser source code for specified grammar !
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popt4jlib
Parallel Optimization Library for Java
popt4jlib is an open-source parallel optimization library for the Java programming language supporting both shared memory and distributed message passing models. Implements a number of meta-heuristic algorithms for Non-Linear Programming, including Genetic Algorithms, Differential Evolution, Evolutionary Algorithms, Simulated Annealing, Particle Swarm Optimization, Firefly Algorithm, Monte-Carlo Search, Local Search algorithms, Gradient-Descent-based algorithms, as well as some well-known...