gogog01-29-2021 Goto Github PK

machine-learning-without-libraries20240311

Today, using machine learning algorithms is as easy as "import knn from ..." but it doesn't really help if you want to learn how the algorithms work

machine_learning_a-z240309

Learning to create Machine Learning Algorithms

machine_learning_a-z_all_codes_and_templates240309

All codes, both created and optimized for best results from the SuperDataScience Course

machine_learning_algorithms_from_scratch240309

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

man-sf-emnlp20240305

manimjupyterr1cs-py-20240308

This repo contains example notebooks which can be launched via binder

mas.s6220240315

MAS.S62 Spring 2018 course website

mastering-python-finance-2e

Acorn Publishing

masteringmetricsr20240301

R code for Angrist & Pischke Mastering Metrics

math157

https://kskedlaya.org/courses-past.shtml

mathematics_in_lean-20240327-

The user home repository for the Mathematics in Lean tutorial.

mathsrevisioncheatsheets-20240306

A few Mathematics Revision Cheat Sheets I've made on LaTeX.

matlab-deep-learning-model-hub

https://www.coursera.org/learn/object-tracking-and-motion-computer-vision/lecture/vU9i3/detecting-objects-with-segmentation

matlab-engine-for-python20240309

matlab-with-python20240309

Files demonstrating MATLAB and Python interoperability

maybejourney

Midjourney UI: An elegantly designed, highly customizable interface, purpose-built to enhance the prompt engineering with ChatGPT.

microelectronics-textbook20240322

Repo for all of my textbooks

minnesota_2023

https://github.com/jstac/minnesota_2023/blob/main/notebooks/numba_multithreading.ipynb

mitx-8s50.github.io

https://courses.mitxonline.mit.edu/learn/course/course-v1:MITxT+8.S50.1x+3T2022/block-v1:MITxT+8.S50.1x+3T2022+type@sequential+block@seq_LS3/block-v1:MITxT+8.S50.1x+3T2022+type@vertical+block@vert_LS3_ex0

ml4ip-240414

Code for the work in Basu and Sankaranarayanan, Can cut generating functions be good and efficient, SIOPT 29(2), 1190–1210 (2019)

mlwithpytorch240309

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

modernrobotics

https://www.coursera.org/learn/modernrobotics-course1-ko/supplement/KjBSu/hyeondae-robosgonghag-kodeu-raibeureori-mic-peurogeuraeming-eoneo

moonmath-20240227

zk-SNARK

moonmath240315

Solutions to exercises from MoonMath Manual to zkSNARKs.

mskim

MKSIM

nainttro-to-numerical-analysis-with-python-20240310

Codes for Numerical Analysis course

nb_learner

https://courses.mitxonline.mit.edu/learn/course/course-v1:MITxT+8.S50.1x+3T2022/block-v1:MITxT+8.S50.1x+3T2022+type@sequential+block@seq_LS1/block-v1:MITxT+8.S50.1x+3T2022+type@vertical+block@vert_LS1_vid1

nemo-skills-math-240305

A pipeline to improve skills of large language models

neuracrypt240315

https://paperswithcode.com/paper/neuracrypt-hiding-private-health-data-via#code

neuralweb20240312

Advanced AI-driven Python script for comprehensive web scraping, data integration, and neural network model training.