Search Results for "lr"
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Showing 32 open source projects for "lr"
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LR Parser and Lexer Generators: Fortran
LR parser generator and lexer generator for use in Fortran
The generator for LR parsers uses Pager's method, augmented with Tom Pennello's Forward Move Algorithm for error recovery. The grammar specifies identifiers for nodes in the abstract syntax tree, and the identifiers for tokens. It generates Fortran declarations for tree node identifiers and named constants that represent the PDA. The lexer generator accepts regular expressions and generates a DFA. -
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lrparsing
An LR(1) parser with a pythonic interface
Lrparsing is yet another parser for Python. The things that make lrparsing different is it combines a LR(1) parser with an easy to use grammar written using Python expressions, a tokeniser, and comes with extensive (and free!) documentation. All available documentation can be read online at http://lrparsing.sourceforge.net/ -
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Semantic Segmentation in PyTorch
Semantic segmentation models, datasets & losses implemented in PyTorch
...Poly learning rate, where the learning rate is scaled down linearly from the starting value down to zero during training. Considered as the go-to scheduler for semantic segmentation. One Cycle learning rate, for a learning rate LR, we start from LR / 10 up to LR for 30% of the training time, and we scale down to LR / 25 for remaining time, the scaling is done in a cos annealing fashion (see Figure bellow), the momentum is also modified but in the opposite manner starting from 0.95 down to 0.85 and up to 0.95. -
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Super-résolution via CNN
Super resolution using a CNN, based on the work of the DGtal team
...No CUDA = dozens of times slower. This program will generate "model_epoch_ .pth" files corresponding to the model at epoch n, in a folder saved_model_u t_bs bs_tbs tbs_lr lr, where corresponds to the scale factor, bsthe size of the training batch, tbsthe size of the test batch and lrto the learning rate. Low res images should be located in a "dataset/input" folder, and high res targets in a "dataset/target" folder, where each different quality image has the same name in both folders. -
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lr-linux-command
lr is used to manage the frequently used directories on Linux.
# ListDirectory-LR LR (List Directory) is a linux tool and it manages your frequently used directories under Linux environment. With LR, you can list, add, delete, and update your frequently used paths, and jump to long directories much easier. Also, it will develop an uniform directory style for you to work on different linux machines. How to install and use: https://github.com/liuty10/ListDirectory-LR -
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lr1
A small, didactic LR(1) parser generator.
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Monkey is a scanner and a LR(1) parser generator for object oriented languages. The platform on wich it runs is Java.
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xLearn
High performance, easy-to-use, and scalable machine learning (ML)
xLearn is a high-performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM), all of which can be used to solve large-scale machine learning problems. xLearn is especially useful for solving machine learning problems on large-scale sparse data. Many real-world datasets deal with high dimensional sparse feature vectors like a recommendation system where the number of categories and users is on the order of millions. ... -
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Hyacc is an efficient and practical Yacc/Bison-compatible full LR(1)/LALR(1)/LR(0) and partial LR(k) parser generator in ANSI C based on Knuth and Pager's LR(1) algorithms. Generated parser can be used in open-source or commercial software.
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...PAVT visualizes the construction of a parser for a given context-free grammar and then illustrates the use of that parser to parse a given string. PAVT can visualize six parsing algorithms, viz. predictive parsing, simple LR parsing, canonical LR parsing, look-ahead LR parsing, Earley parsing and CYK parsing. PAVT logically explains the process of parsing showing the calculations involved in each step. The output of PAVT has been structured to maximize the learning outcomes and contains important constructs like FIRST and FOLLOW sets, item sets, parsing table, parse tree and leftmost or rightmost derivation depending on the algorithm being visualized. ...
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PEG.js
PEG.js is a parser generator for JavaScript
...PEG.js is still very much work in progress. There are no compatibility guarantees until version 1.0. Based on parsing expression grammar formalism, more powerful than traditional LL(k) and LR(k) parsers. Usable from your browser, from the command line, or via JavaScript API. -
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n-chinese-remainders
chinese remainder theorem - progressive solving, n-soln, extras
...other funs: Euclidians, showFactors, changeBaseArr, caesar, rsa, inverseMod, IntToModTups (large number math for PC's) crfindnSolnAfterxInEqm (solve saw wave LL,RL,LR,... intersects) congruence, plots, y-shifted triangular wave solve, testing (for historic reasons files are also in https://sourceforge.net/projects/periodictablemm/) -
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3d axisymmetric heat diffusion C code
A C Program code to solve for Heat diffusion in 3D Axi-symmetric grid.
Type - 3D Grid - Axisymmetric Case - Heat diffusion Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LR,LZ,LH) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup - Periphery heated to 500 C Top to 500 C Bottom to 500 C -
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2d axisymmetric heat diffusion C code
A C Program code to solve for Heat diffusion in 2D Axi-symmetric grid.
Type - 2D Grid - Axisymmetric Case - Heat diffusion Method - Finite Volume Method Approach - Flux based Accuracy - First order Scheme - Explicit Temporal - Unsteady Parallelized - No Inputs: [ Length of domain (LR,LZ) Time step - DT Material properties - Conductivity (k or kk) Density - (rho) Heat capacity - (cp) Boundary condition and Initial condition. ] Setup - Periphery heated to 200 C Top to 300 C Bottom to 100 C -
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LR Gradient Descent
Applying linear regression (using gradient descent) to sample data.
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ls-fuse
ls -lR output mounter
ls-fuse mounts output of ls utility as read-only pseudo filesystem. Purpose of ls-fuse is similar to lsfs project or lslR plugin for midnight commander. But the main idea was implementation of native tool with SELinux support. -
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QtCopyChosenOriginals
Copy Original Files based on a set of Chosen Files
Based on a folder with some chosen files, copy those same files, possibly with different types from an originals folder to a destination folder. This is useful if you have a set of photos where you have selected some, and maybe resized them, and now want to get those same files as Raw or the Original size JPG files. -
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OOPSGen
Object Oriented Parser Generator
The goal of this project is to create a simple and easy to use parser generator that will accept a textual grammar file as an input and output modularized classes representing a limited parser interface. Long term goals include a robust grammar file syntax, output suitable for multiple programming languages, and tools for better integrating compiler functionality, parse tree manipulation, and FSM based scanner generation. -
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An other library for the common problem of parsing arbitrary text data. A small, easy-to-use Java library LR parser without lookahead limitation. Semantic action defined in class not in grammar definition file.
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parsing simulator can be used to determine first ,follow , nullable and can be used to calculate LR items.
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simulation of fanuc lr mate 200i robot using blender and also the method is documented so that any other user can create there own simulation with a different configuration robot.
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The name stands for ensemble learning framework. It is a collection of machine learning algorithms for classification and regression with the possibility of connecting them together via ensemble learning. It is written in C++.
