brilliantFire
PhD neurosci • MS analytics • Data Scientist, Moderna • "For by earth we see earth, by water water, by air bright air, and by fire brilliant fire."
Pennsylvania
Pinned Repositories
Allen-aging-dementia-TBI
Predicting dementia status using the data from Allen Institute of Brain Science's Aging, Dementia, & TBI Study
awesome-computer-vision
A curated list of awesome computer vision resources
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
brilliantFire.github.io
My personal blog
chalk-template
Chalk is a high quality, completely customizable, performant and 100% free Jekyll blog theme.
dask-tutorial
Dask tutorial
deep-learning
various deep learning models in python
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
deeplearning-biology
A list of deep learning implementations in biology
brilliantFire's Repositories
brilliantFire/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
brilliantFire/Allen-aging-dementia-TBI
Predicting dementia status using the data from Allen Institute of Brain Science's Aging, Dementia, & TBI Study
brilliantFire/awesome-computer-vision
A curated list of awesome computer vision resources
brilliantFire/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
brilliantFire/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
brilliantFire/brilliantFire.github.io
My personal blog
brilliantFire/chalk-template
Chalk is a high quality, completely customizable, performant and 100% free Jekyll blog theme.
brilliantFire/dask-tutorial
Dask tutorial
brilliantFire/deep-learning
various deep learning models in python
brilliantFire/deeplearning-biology
A list of deep learning implementations in biology
brilliantFire/dive-into-machine-learning
Dive into Machine Learning with Python Jupyter notebook and scikit-learn!
brilliantFire/draw_convnet
brilliantFire/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
brilliantFire/GetCards
Notebook to download machine learning flashcards
brilliantFire/hyde-jekyll-theme
A brazen two-column theme for Jekyll.
brilliantFire/hydeout-jekyll-theme
A refreshed version of Hyde for Jekyll 3.x
brilliantFire/jekyll-jupyter-notebook
Jekyll Jupyter Notebook plugin
brilliantFire/jekyll-theme-simple-blog
!!!This repo is mirrored and pulls from https://gitlab.com/lorepirri/jekyll-theme-simple-blog !!! Simple Blog Theme is a clean, responsive blogging theme for Jekyll and GitHub Pages, with social/SEO features.
brilliantFire/keras
Deep Learning for humans
brilliantFire/lanyon
A content-first, sliding sidebar theme for Jekyll.
brilliantFire/minimal-mistakes
:triangular_ruler: Jekyll theme for personal sites, blogs, and portfolios. Two-columns and extremely flexible.
brilliantFire/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 ;)
brilliantFire/seirsplus
Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.
brilliantFire/spacemacs-theme
A simple spacemacs template on jekyll. https://victorvoid.github.io/space-jekyll-template/
brilliantFire/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
brilliantFire/Time-Series-and-Forecasting-with-R
This repository contains code generated for PREDICT 413 (Time Series & Forecasting), Northwestern University MS Predictive Analytics Program, Summer Quarter 2017
brilliantFire/Titanic
Contains Python code written for Kaggle's Titanic competition