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agcwd

A python and node.js implementation of Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution (AGCWD)

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

annotated-transformer

http://nlp.seas.harvard.edu/2018/04/03/attention.html

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

blocks_world_problem

AI heuristic search project

correlated-q-learning

cp_final_project

Georgia Tech - Computational Photography Final Project - Empty Highways

cs-video-courses

List of Computer Science courses with video lectures.

cs6475_neural_style

Literate Python implementation of 'A Neural Algorithm of Artistic Style'

cs6515-pagerank-algorithms

deep-learning-wizard

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

dl_hw1

CS7643-Deep Learning HW1

dl_hw2

CS7643-Deep Learning HW2

dl_hw3

erms

firstcoursenetworkscience

Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis

glove

hdr-imaging

High dynamic range imaging with python

hub

🔌 A central repository collecting pre-trained adapter modules

image-contrast-enhancement

Python implementation of "A New Image Contrast Enhancement Algorithm Using Exposure Fusion Framework", CAIP2017

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kalman-filter

Kalman Filter implementation in Python using Numpy only in 30 lines.

legendarylance.github.io

Passion to Learn

machine-learning-book

涉及机器学习中深度学习、强化学习、监督学习、集成学习相关的pdf书籍及其个人的阅读笔记

markov-decision-process

markov-decision-processes

ml-workshop-1-of-4

Introduction to Machine learning with Python, 4h interactive workshop

netsci-course

IU SICE Network Science course

netsci-labs

(In progress) Network science laboratories. Covers graph theory, random graphs and ML on graphs

network-analysis-made-simple

For PyCon, PyData, ODSC, and beyond!