henocm Goto Github PK

6.431x

Probability - The Science of Uncertainty and Data

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

aws-support-tools

Tools and sample code provided by AWS Premium Support.

beaglebone-black

Design and Document files for the BeagleBone Black from BeagleBoard.org

betterpython

Code examples for my Write Better Python Code series on YouTube.

cookiecutter-pypackage

Cookiecutter template for a Python package.

cs-video-courses

List of Computer Science courses with video lectures.

customcredentialsprovider

Custom credentials provider for EMR on AWS

data-science--cheat-sheet

Cheat Sheets

data_science

Different study cases of handling and analysis data, using python tools.

deep-learning-book

Deep Learning book the covers the principles of deep learning, motivation, explanations, state of the art papers for the various tasks and architectures: CNNs, object detection, semantic segmentation, generative models, denoising, super resolution, style transfer and style manipulation, inpaintig, self supervised learning, vision transformers, OCR, and multi modal. Hope that it will be useful to some of you 🙂

deeplearningai-cambridge-computer-vision

Github Repo with code for the Deeplearning.ai Pie & AI Session in Cambridge, led by Kenneth Zhang and Michael Steinberg

embeddedlinuxbbb

firehose-inputformat

henocm

mdbook

Create book from markdown files. Like Gitbook but implemented in Rust

mitx-6.431x

Probability - The Science of Uncertainty and Data

mitx_6.86x

Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning

mitx_capstone_1

This is the first cheat-sheet for the MITx Statistics and Datascience capstone exam

ml-tutorial

Introduction to ML packages for the 6.86x course

modernpython

Sample code for the video course: Modern Python: Big Ideas, Little Code

openlibrary

One webpage for every book ever published!

papers-we-love

Papers from the computer science community to read and discuss.

presto-custom-function

privategpt

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

python-patterns

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

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

spider

stuff

symspell

SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm