Search Results for "command-line"

...If you use DeepMind Lab in your research and would like to cite the DeepMind Lab environment, we suggest you cite the DeepMind Lab paper. To enable compiler optimizations, pass the flag --compilation_mode=opt, or -c opt for short, to each bazel build, bazel test and bazel run command. The flag is omitted from the examples here for brevity, but it should be used for real training and evaluation where performance matters. DeepMind Lab ships with an example random agent in python/random_agent.py which can be used as a starting point for implementing a learning agent.

The Library is for Finite Transforms such as the Number Theoretic Transform (NTT) and Finite Radon Transform (FRT). Current modules include NTTW for NTTs with high resolution (microsecond) timing, basic array and imaging. The transforms are optimised for performance.

Esg2Net is a set of tools and libraries used to transfer large datasets over high-bandwidth networks. It introduces a new mechanism in which every operation involving in data movement can be profiled, tuned, and adjusted on the fly in order to eliminate end-host bottlenecks. It has mainly developed for the movement of ESG climate datasets for high-speed replication and data access over the network. Climate Data Mover is used for testing 100Gbps networks in Nov 2011 at Supercomputing Conference.

C library for 640x480px monochrome LCD display - EPSON EG9018C with 2 fonts included. Can be adapted to any uC you can imagine (which can handle at least 37.5kB RAM +~5kB ROM for font data). Tested on STM32-DISCOVERY (STM32F303VC).

A generic, vendor-independent open-source application to determine the performance of a pub-sub infrastructure.

MGARCH is a software library for R-Project to simulate and estimate various MGARCH processes. This project also provides convenience tools for preparing data, summarizing and visualizing results, prediction and documentation.

This library is an implementation of the Anisotropic Morphological Leveling algorithm for Remote Sensing Imagery using the OpenCV library.