rml

rml is a simple C library for machine learning.

• Tensors (initialization, destruction, basic operations)
  • DONE Initialization, management, building block operations
  • PERPETUAL IN-PROGRESS More complex operations on tensors
• Nice file I/O
  • DONE CSV
  • DONE BIN
  • DONE HEX
  • TODO a .rml format (denser tensor serialization)
  • TODO serialize models
• Computational graph generation of conducted operations
  • DONE Dynamic graph generation
  • DONE Graph management
• OpenCL support
  • DONE Minimal working CL example
  • DONE Framework for constructing tensor operations using OpenCL kernels
  • DONE CL implementations of core operations
• Backprop gradients over generated graph
  • DONE Core operation jacobian calculations
  • DONE Chain rule jacobians together for full gradients
• Gradient descent optimization
  • DONE Single gradient step
  • DONE Batching

rml is free / libre software licensed under the LGPL v3.0. rml can be easily installed on most Linux distributions.

1. Clone the repository,

   $ git clone https://github.com/RArbore/rml.git

2. Navigate into the workspace,

   $ cd rml

3. Install (requires root privileges to place librml.so inside /usr/lib and rml.h inside /usr/include),

   # make install

To use rml in your C program…

1. Include rml.h, #include <rml.h>
2. Compile with rml,

   $ gcc ... -lrml ...