List of Computer Science courses with video lectures.
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Updated
Jul 15, 2020
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List of Computer Science courses with video lectures.
A collection of Linux Sysadmin Test Questions and Answers. Test your knowledge and skills in different fields with these Q/A.
LibRec: A Leading Java Library for Recommender Systems, see
Trigger is a robust network automation toolkit written in Python that was designed for interfacing with network devices.
Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.
What to Read to Learn More About DevOps
Knee point detection in Python
Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples
1st time TAing for CS110 at Stanford: Principles of Computer Systems? - Stars are appreciated :)
This fork of the PSHTML-AD-Report project adds functionality to the existing report tool so that metrics can be collected from VMWare infrastructures.
Vendor-agnostic tool for managing bare-metal systems via the Redfish API
std::chrono::system_clock; in others we use std::chrono::high_resolution_clock. Which is better?Windows 10/NT usermode rootkit base.
cBench provides a unified CLI and API to reproduce results from ML&systems research papers on bare-metal platforms and participate in collaborative benchmarking and optimization using live scoreboards. See the real example for the MLPerf benchmark:
Video discussing this curriculum:
Example projects for IAR RISC-V GD32V Evaluation board. Request your free board from https://www.iar.com/evalkit
Inter-process communication, synchronization & scheduling algorithms
A simple system status page for Directus
Add a description, image, and links to the systems topic page so that developers can more easily learn about it.
To associate your repository with the systems topic, visit your repo's landing page and select "manage topics."
For now only strings are accepted as the
measuresparameter inGridSearchCV,RandomizedSearchCV, andcross_validate. It's thus impossible to use those with measures that take specific parameters as input (e.g. #156 ), or to use custom measures.We should then accept callables in addition to strings.
Each callable should only take the
predictionsparameter. In order to handle measur