Beast code in Giters

Kartik Lakshminarasimhan's starred repositories

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Language:Jupyter NotebookNOASSERTION1616200

DeepBench

Benchmarking Deep Learning operations on different hardware

Language:C++Apache-2.0105900

mips-cpu

MIPS CPU implemented in Verilog

Language:VerilogGPL-3.055700

EDX_CPP_CS101.2x

Language:C++100

coatcheck

COATCheck

Language:CoqMIT1200

fathom

Reference workloads for modern deep learning methods.

Language:PythonApache-2.07300

awesome-courses

:books: List of awesome university courses for learning Computer Science!

5557400

gprof2dot

Converts profiling output to a dot graph.

Language:PythonLGPL-3.0314500

xdot.py

Interactive viewer for graphs written in Graphviz's dot language.

Language:PythonLGPL-3.085100

Path-Planning-Python

Parallelizations of Dijkstra's Algorithm in Python

Language:PythonMIT600

CRONO

A Shared Memory Multithreaded Graph Benchmark Suite for Multicores

Language:C++MIT3300

iACT

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zsim

A fast and scalable x86-64 multicore simulator

Language:C++GPL-2.031800

parallel

Several parallel and concurrent programming stuff will be stored here, probably with bad folder structure.

Language:C400

Graphite

A parallel, distributed simulator for multicores.

Language:GLSLMIT18100