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aws-deepracer-workshops

DeepRacer workshop content

bayesian_optimization_project

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

beso

Python code for topology optimization using CalculiX FEM solver.

coursera_capstone

The repository is for Coursera Capstone projects on Week3

covid19

Scale Workspace Response to COVID19

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

d3-book

Code examples for “Interactive Data Visualization for the Web”

dpm_particleplot

Data of particles are extracted from Fluent DPM particle tracking - try to get information on vorticity and turbulence level

foamgen

Generate virtual closed-cell or open-cell foam structure.

fullcontrol

Python version of FullControl for toolpath design (and more) - the readme below is best source of information

gcmma-mma-python

Python code of the Method of Moving Asymptotes

genysis_documentation

Python Library and Documentation for the GENYSIS api

homogenization

Homogenization code for 3D lattice structure

ig-markets-api-python-library

A lightweight Python library that can be used to get live data from IG Markets REST and STREAM API with a LIVE or DEMO account

image-processing-

This repository records the image processing code for Study2

intro-beautifulsoup

javascript-canvas

learnopencv

Learn OpenCV : C++ and Python Examples

llambo

Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"

manim

Animation engine for explanatory math videos

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

mnist-keras

Using various CNN techniques on the MNIST dataset

mslattice_windows

MSLattice is a software that can be used to generate the geometries of various types of lattices that are known as periodic cellular materials or architected materials. In particular, lattices based on triply periodic minimal surfaces. The user can generate the STL files needed for fabricating the lattices using additive manufacturing (commonly known as 3D printing) and can generate the files needed for conducting finite element simulations or computational fluid dynamics simulation in order to estimate the performance of lattices under different loading conditions.

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

neural-ode

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

neuralmon

Machine learning project for Pokemon type identification using Neural Networks

neuralnet_example

A basic neural network example

playground

Play with neural networks!

pptk

The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.