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18s191

Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:

6s083

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

awesome-kotlin

bioinformatics_programming_global_alignment

Bioinformatics Programming: Global Alignment Technique

building-detection

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

create-table-latex-for-collecting-english-words

Create Table Latex For Collecting English Words

datasciencecourse

This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.

deep_learning_object_detection

A paper list of object detection using deep learning.

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

get_metrics_conf_matrix_values

get metrics conf matrix values

hdcovmattest

Homogeneity tests of covariance matrices with high-dimensional longitudinal data

hello-world

My first repository is called "hello-world"

home

how-to-create-custom-reinforcement-learning-environment

How to create an Open AI Gym Environment

imgclsmob

Sandbox for training deep learning networks

kotlin-koans

learn-you-a-kotlin

machine-learning

Web-interface + rest API for classification and regression (https://jeff1evesque.github.io/machine-learning.docs)

machine-learning-nanodegree

Codes, notes and guides on Udacity's machine learning nanodegree.

machine-learning-projects

Machine Learning Projects upon UCI Machine Learning Datasets and more to enhance my personal knwoledge about such a wide spread and huge field.

my-siren-deep-learning-test

Repository aimed at performing some custom experiment onto Siren-based Deep Learning Neural Networks for comparing against other common, and well known compression algorithm, within the wide context of computer vision and data images processing.

perceptualsimilarity

LPIPS metric. pip install lpips

pittsburgh-bridge-dataset

Repository created to push on my research and study about different machine learning and statistical learning techniques that I'm going to apply and check the results I will obtain onto data coming from Pittsburgh Bridge Dataset.

pivot_analysis

The pivot analysis algorithm for lexical analysis of text attribute transfer

powerlmm

powerlmm R package for power calculations for two- and three-level longitudinal multilevel/linear mixed models.

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

python-patterns

Source code behind the python-patterns.guide site by Brandon Rhodes