sohale Goto Github PK

3dconstraints.js

affine-old

cdwg

🗳 CDWG: The Crowd Collective Decision WebApp Game

concurrency

cs-glossaries

📚 A glossary of terms of C++ & other languages. Mainly for preparation. ( + some science )

deep-colourize-js

dilmajtemp

A Crowd Language Development system. Contact sohale gmail dot com or A.F. about this

dummy-api-test

Used for testing github API.

gbce-stock-market

💰 📈 Super Simple Stock Market

gpu-cuda-mnc

📐Parallel numerical integration using Monte Carlo on GPU

gpu-experimentations

gpu/cuda/nvidia experimentations for cloud GPU

grpc-cpp-sohail-example

haskellneuron--empty-

a neuron modelling library with Haskell

hemi-glossaries-public

Glossaries and hemi-essays for public and later reference, not for preparation. CS & non-CS.

ifc2brep-0

PoC for an IFC to BREP converter for BIM in C++ (3D, BIM, cli)

implisolid

🧱 Library for Geometric / Solid Modelling based on 🪐 Implicit Surfaces modelling. (Feel free to submit Pull Requests)

implisolid-build

🪐🧱 build for sohale/implisolid . See https://github.com/sohale/implisolid

interactive-demos

😵✘ (defunct) Interactive demos for education and building IR fwdmdels for understanding.

jmusic

🎧 🎤 Audio Engineering toolkit written in 1999, precursor to Mehr32 (First written in Java, and then rewritten in C++)

jrep

a new generation `grep` written in node/javascript

jwater

A realistic rendering engine rewritten in Java. Back from 1999

mehr32

An Audio Engineering toolbox written in C++/C. It was my final degree project developed back in 1999-2000. (Full version will be available soon)

meteor-is-awesome

Trying Meteor

misc

Experimentsin C++ and Java

montemurro-entropy-python

Nkhdi

mp5slicer

📐🧱 The slicer for the MP5 file format, part of the Wedesign.live project. See https://github.com/sohale/implisolid

nedanepy

The code heere is not by @sohale

neopiler

nn-it

Neu(ral)-N(et)-It

point-process-simple-example

🧠 A decoder of Spike Trains using 🔬 Bayesian, State-Space, 📐 Point-Processes, EM-algorithm, Maximum-likelihood