Projects that are tagged with symbolic differentiation.

Logo DiffSharp 0.7.4

by gbaydin - October 27, 2015, 16:27:35 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4449 views, 915 downloads, 3 subscriptions

About: DiffSharp is an automatic differentiation (AD) library providing gradients, Hessians, Jacobians, directional derivatives, and matrix-free Hessian- and Jacobian-vector products. It allows exact and efficient calculation of derivatives, with support for nesting.


Improved: Overall performance improvements with parallelization and memory reshaping in OpenBLAS backend

Fixed: Bug fixes in reverse AD Make_DM_ofDV and DV.Append

Fixed: Bug fixes in DM operations map2Cols, map2Rows, mapi2Cols, mapi2Rows

Added: New operation primalDeep for the deepest primal value in nested AD values

Logo Theano 0.7

by jaberg - March 27, 2015, 16:40:18 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 19698 views, 3610 downloads, 3 subscriptions

About: A Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Dynamically generates CPU and GPU modules for good performance. Deep Learning Tutorials illustrate deep learning with Theano.


Theano 0.7 (26th of March, 2015)

We recommend to everyone to upgrade to this version.


* Integration of CuDNN for 2D convolutions and pooling on supported GPUs
* Too many optimizations and new features to count
* Various fixes and improvements to scan
* Better support for GPU on Windows
* On Mac OS X, clang is used by default
* Many crash fixes
* Some bug fixes as well