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python3-torch-sparse
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
This package consists of a small extension library of optimized sparse matrix
operations with autograd support.
libcmark-gfm-extensions0.29.0.gfm.3
CommonMark GitHub flavor gfm extension library
cmark-gfm is the GitHub flavor of the cmark C reference
implementation of CommonMark, a rationalized version of Markdown
syntax with a spec. This package provides the required gfm extension
library
librte-net-null22
Data Plane Development Kit (librte-net-null runtime library)
DPDK is a set of libraries for fast packet processing. Applications run
in user-space and communicate directly with dedicated network interfaces.
node-html-loader
Node module that exports HTML as string
node-html-loader exports HTML as string. HTML is minimized when the
compiler demands. It can be used as node-webpack plugin.
libstopt4
library for stochastic optimization problems (shared library)
The STochastic OPTimization library (StOpt) aims at providing tools in C++ for
solving some stochastic optimization problems encountered in finance or in the
industry. Different methods are available:
- dynamic programming methods based on Monte Carlo with regressions (global,
local, kernel and sparse regressors), for underlying states following some
uncontrolled Stochastic Differential Equations;
- dynamic programming with a representation of uncertainties with a tree:
transition problems are here solved by some discretizations of the commands,
resolution of LP with cut representation of the Bellman values;
- Semi-Lagrangian methods for Hamilton Jacobi Bellman general equations for
underlying states following some controlled Stochastic Differential
Equations;
- Stochastic Dual Dynamic Programming methods to deal with stochastic stock
management problems in high dimension. Uncertainties can be given by Monte
Carlo and can be represented by a state with a finite number of values
(tree);
- Some branching nesting methods to solve very high dimensional non linear
PDEs and some appearing in HJB problems. Besides some methods are provided
to solve by Monte Carlo some problems where the underlying stochastic state
is controlled.
For each method, a framework is provided to optimize the problem and then
simulate it out of the sample using the optimal commands previously computed.
Parallelization methods based on OpenMP and MPI are provided in this
framework permitting to solve high dimensional problems on clusters.
The library should be flexible enough to be used at different levels depending
on the user's willingness.
libace-flreactor-7.0.8
ACE-GUI reactor integration for FLTK
Recognizing the need to write reactor-based GUI applications, the ACE
community has created several reactor extensions for use with X
Window System. Each of these extends the ACE_Select_Reactor to work
with a specific toolkit. By using these reactors, your GUI
application can remain single threaded yet still respond to both GUI
events, such as button presses, and your own application events.