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Learn Algorithmic Trading, Published by Packt
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A Visual Analysis Tool to Explore Learned Representations in Transformers Models
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A web-based collaborative LaTeX editor
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.
WIP: Roadmap to becoming a machine learning engineer in 2020
Material for Pybrain 2020 MNE-Python workshop
Python code and data to the manuscript "Hands-on Signal Analysis with Python"
π Papers & tech blogs by companies sharing their work on data science & machine learning in production.
This repository contains implementations and illustrative code to accompany DeepMind publications
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Findings from Stackoverflow 2017
"A survey of Transformer" paper study π©π»βπ»π§π»βπ» KoreaUniv. DSBA Lab
Contains files related to content and project of DSND Term 2
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Riemannian Geometry workshop at vBCI Meeting 2021
Deep Learning with Tensor Flow for EEG MNE Epoch Objects
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
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Google play scraper for Python inspired by <facundoolano/google-play-scraper>
Encoding position with the word embeddings.
Demo of the T5 model for various pre-trained task.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
TensorFlow code and pre-trained models for BERT