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18s191

Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:

abeliandecompositon

Abelian Finite Groups decomposition

abstractalgebra.jl

Generic abstract algebra functionality in pure Julia (no C dependencies)

aidevnn

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autogradmlp

Testing a simple autogradient calculation for a Neural Network

benchblasmkl

Benchmark Blas matrix multiplication with monodevelop

chaxgame

East africa regional 2 players game

chaxgamejs

East africa traditionnal 2 players board game

cldnn

Compute Library for Deep Neural Networks (clDNN)

cntkxor

Simple MLP with CNTK on XOR dataset. The dataset can be loaded from an array or from a file.

cupyfirstexample

CuPy first example computing GEMM with cuBlas, with handwritten cuda kernel and with NumPy-blas

desertland

A Deep Learning framework for educative purpose (In Progress)

desertlandcnn

in progress

desertlandmlp

Simple MultiLayerPerceptron with dummy multidimensionnal NDArray backend written in C#

determinantsquarematrix

Determinant of square matrix with 3 methods : the definition, the cofactor method and the pivot method

diamondlump

Simple MLP / CNN / RNN / LSTM neural-networks implementation in csharp using Intel-MKL-Library.

discreteprobastats

Samples generations using discrete probability and Kolmogorov-Sirmnov test

dunelion

dustlore

Simple MLP / CNN / RNN neural-networks implementation in csharp. In progress.

epidemieimmunite

Simulation de propagation d'epidemie

fastgoat

What C# can do for studying Finite Groups, quotient groups, semi-direct products, homomorphisms, automorphisms group, characters table, minimalistic rings and fields manipulations, polynomials factoring, fields extensions and many more...

finegrain

Finite group study, abelians or not, quotient group, direct product and many more...

finitegroup

A simple code to show quickly generated group.

finitelypresentedgroup

Bruteforce algorithm for creating all elements of a group presented by generators and relations.

furiousgenius

Small Groups study in Julia

hello-world-lstm

First LSTM

intelgemm

GEneral Matrix Multiplication with Intel Compiler and his powerfull Autoparallelization and Autovectorization

juliadatascience

Book on Julia for Data Science

lapackcsharptest

Solving linear equation using lapack with csharp

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.