adityavipradas Goto Github PK

an_introduction_to_interactive_programming_in_python

"An Introduction to Interactive Programming in Python" Coursera Assignments.

asu_cse575_statistical_machine_learning_codes

machine learning codes

asu_mae598_design_optimization_codes

MAE598 Design Optimization files

asu_mae598_finite_elements_in_engineering_hw_codes

MAE598 Finite Elements in Engineering MATLAB codes

autoware

Open-source software for self-driving vehicles

autoware-manuals

Free manuals for Autoware. You are encouraged to join their maintenance!

carbon_nanotubes_codes

codes to determine shortest path using dijkstra's algorithm

cashew_shelling_project_codes

manual cashew nut segregation and shelling machine design codes

cashew_shelling_project_tex_files

tex files for cashew shelling project documentation

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

csi5900_deep_learning_codes_g00805264

All final project codes

darknet

Convolutional Neural Networks

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

digital_image_correlation_codes

digital image correlation matlab codes

finite_element_method_codes

Finite Element Method codes written in Python and Scilab

image-multiclass-classification

Multiclass Classification using Ensemble method

learnopencv

Learn OpenCV : C++ and Python Examples

material-design

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

microstructure_pattern_recreation_random_forest

Implementing random forest to recreate microstructure patterns

ml-tutorial

Introduction to ML packages for the 6.86x course

moviegeek

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

neural-networks-and-deep-learning

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

optimization_techniques_course

Optimization Techniques

pytorch-neural-style-transfer

Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.

segment-anything-sam

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

self_driving_car_specialization

Assignments and notes for the Self Driving Cars course offered by University of Toronto on Coursera

stochastic_simulations

supervised-learning

initial

textbook_companion_project_vb_bhandari

textbook companion for design of machine elements by v.b.bhandari