skhan45 Goto Github PK

angularspectrum

Angular spectrum 3D with Rusanov solver for shock wave propagation and Kramers Kronig attenuation dispersion for soft tissue modeling

anlp

Applied Natural Language Processing course code(s)

ast542

Princeton astro grad seminar on statistical methods

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

brendanhasz.github.io

Personal site and blog

cda-samplers

Examples of fitting a simple Gaussian mixture model with different Bayesian sampling methods

course

course-1

The Hugging Face course

course-content

Summer course content for Neuromatch Academy

course-content-dl

covid19_pocus_ultrasound

Open source ultrasound (POCUS) data collection initiative for COVID-19.

csgraduatefellowships

A curated list of fellowships for graduate students in Computer Science and related fields.

darkfieldnpj

Self-driving laboratory for accelerated discovery of thin-film materials - data repository

data-mining

Data mining assignments and Projects

data-science-best-resources

Carefully curated resource links for data science in one place

data-science-learning-resources

A comprehensive list of free resources for learning data science

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep_learning

added all materials

deeplearningpython

neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support

educational

hackathon-summer-2020

Data and details for University of Rochester Biomedical Data Science Hackathon

home

image_segmentation_ultrasound

image segmentation for ultrasound images

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

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.

learningsparkv2

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

machine-learning

:earth_americas: machine learning tutorials (mainly in Python3)

machine-learning-1

Implementation of different ML Algorithms from scratch, written in Python 3.x