Commit 01cc05d3 authored by SVAKSHA 's avatar SVAKSHA 💬

Merge branch 'master' of github.com:svaksha/Julia.jl

parents a0861579 8f76d4ed
......@@ -260,7 +260,7 @@ Algorithms,Time,LabelPropagation.jl,https://github.com/afternone/LabelPropagatio
Algorithms,RESOURCES,algo-book-julia,https://github.com/Alexander-N/algo-book-julia,Snippets from Problem Solving with Algorithms and Data Structures in Julia.
Algorithms,RESOURCES,study,https://github.com/codematician/study,A study of interesting algorithms.
Algorithms,[NP-complete](https://en.wikipedia.org/wiki/Category:NP-complete_problems),TravelingSalesmanHeuristics.jl,https://github.com/evanfields/TravelingSalesmanHeuristics.jl,Julia package for simple traveling salesman problem heuristics.
Algorithms,[SAT](https://en.wikipedia.org/wiki/Satisfiability_modulo_theories),dReal.jl,https://github.com/zenna/dReal.jl,Nonlinear SMT solving using dReal.
Algorithms,[SAT](https://en.wikipedia.org/wiki/Satisfiability_modulo_theories),DReal.jl,https://github.com/zenna/DReal.jl,Nonlinear SMT solving using dReal.
Algorithms,[SAT](https://en.wikipedia.org/wiki/Satisfiability_modulo_theories),PicoSAT.jl,https://github.com/jakebolewski/PicoSAT.jl,Provides Julia bindings to the popular SAT solver picosat by Armin Biere. It is based off the Python pycosat and Go pigosat bindings written by Ilan Schnell and Willam Schwartz.
Algorithms,[SAT](https://en.wikipedia.org/wiki/Satisfiability_modulo_theories),Z3.jl,https://github.com/zenna/Z3.jl,This is a Julia interface to Z3 - a high performance theorem prover developed at Microsoft Research. Z3 can solve satisfiability modulo theory (SMT) problems.
Biology,,COBRA.jl,https://github.com/opencobra/COBRA.jl,"COnstraint-Based Reconstruction and Analysis, used to perform COBRA analyses such as Flux Balance Anlysis (FBA), Flux Variability Anlysis (FVA), or any of its associated variants such as `distributedFBA`."
......@@ -1234,7 +1234,6 @@ Mathematics,[NumericalAnalysis](https://en.wikipedia.org/wiki/Category:Numerical
Mathematics,[NumericalAnalysis](https://en.wikipedia.org/wiki/Category:Numerical_analysis),InplaceOps.jl,https://github.com/simonbyrne/InplaceOps.jl,Convenient macros for in-place matrix operations in Julia.
Mathematics,[NumericalAnalysis](https://en.wikipedia.org/wiki/Category:Numerical_analysis),Interpolations.jl,https://github.com/JuliaMath/Interpolations.jl,B-spline interpolation in Julia.
Mathematics,[NumericalAnalysis](https://en.wikipedia.org/wiki/Category:Numerical_analysis),LinearExpressions.jl,https://github.com/cdsousa/LinearExpressions.jl,is a Julia package to manipulate symbolic linear expressions with both scalar and matrix coefficients - large linear matrix inequalities (LMI) for SDP optimization.
Mathematics,[NumericalAnalysis](https://en.wikipedia.org/wiki/Category:Numerical_analysis),LinearMaps.jl,https://github.com/Jutho/LinearMaps.jl,"A Julia package for defining and working with linear maps, also known as linear transformations or linear operators acting on vectors. The only requirement for a LinearMap is that it can act on a vector (by multiplication) efficiently."
Mathematics,[NumericalAnalysis](https://en.wikipedia.org/wiki/Category:Numerical_analysis),LowRankApprox.jl,https://github.com/klho/LowRankApprox.jl,Fast low-rank matrix approximation in Julia.
Mathematics,[NumericalAnalysis](https://en.wikipedia.org/wiki/Category:Numerical_analysis),RandomMatrices.jl,https://github.com/jiahao/RandomMatrices.jl,Random Matrices.
Mathematics,[NumericalAnalysis](https://en.wikipedia.org/wiki/Category:Numerical_analysis),Video,"https://www.youtube.com/watch?v=68yy33jOkOs) of Jiahao and Andreas talk on __Free probability, random matrices and disorder in organic semiconductors__ at MIT CSAIL",
......@@ -2318,7 +2317,6 @@ Super-Computing,GPU,CURAND.jl,https://github.com/JuliaGPU/CURAND.jl) : Wrapper f
Super-Computing,GPU,HSA.jl,https://github.com/JuliaGPU/HSA.jl,Julia Bindings for the HSA Runtime.
Super-Computing,GPU,julia-CuMatrix,https://github.com/stefan-k/julia-CuMatrix,CUDA Matrix library.
Super-Computing,GPU,julia-kernels,https://github.com/toivoh/julia-kernels,"A small suite of tools aimed at being able to write kernels in Julia, which could be executed on the CPU, or as GPU kernels."
Super-Computing,GPU,MXNet.jl,https://github.com/dmlc/MXNet.jl,The dmlc/mxnet Julia package for flexible and efficient GPU computing and state-of-art deep learning in Julia.
Super-Computing,GPU,OpenCL.jl,https://github.com/JuliaGPU/OpenCL.jl,"OpenCL 1.2 Julia bindings - a cross platform parallel computation API for programming parallel devices, with implementations from AMD, Nvidia, Intel, and others, similar in scope to PyOpenCL."
Super-Computing,GPU,UberSignals.jl,https://github.com/SimonDanisch/UberSignals.jl,"Concept for a fast event signal system, using JIT and GPU acceleration, loosely inspired by Reactive.jl."
Super-Computing,Resources,log post on [Compiling Julia for NVIDIA GPUs,http://blog.maleadt.net/2015/01/15/julia-cuda/,
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