predictor

package

NCSA

This is not legal advice. Read disclaimer.

Copyright (c) 2017, Abdul Dakkak, Cheng Li. All rights reserved.

Developed by:  Abdul Dakkak, Cheng Li
               IMPACT Group
               University of Illinois, Urbana-Champaign
               impact.crhc.illinois.edu

Permission is hereby granted, free of charge, to any
person obtaining a copy of this software and associated
documentation files (the "Software"), to deal with the
Software without restriction, including without limitation
the rights to use, copy, modify, merge, publish, distribute,
sublicense, and/or sell copies of the Software, and to
permit persons to whom the Software is furnished to do so,
subject to the following conditions:

1. Redistributions of source code  must retain the above
copyright notice, this list of conditions and the following
disclaimers.
2. Redistributions in binary form must reproduce the above
copyright notice, this list of conditions and the following
disclaimers in the documentation and/or other materials
provided with the distribution.
3. Neither the names of Abdul Dakkak, Cheng Li, Impact Group,
nor the names of its contributors may be used to endorse or
promote products derived from this Software without specific
prior written permission.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF
ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED
TO THE  WARRANTIES OF MERCHANTABILITY, FITNESS  FOR A
PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
THE CONTRIBUTORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
WITH THE SOFTWARE.
Source: github.com/c3sr/pytorch@v1.1.5/LICENSE

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