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awesome-cold-showers

For when people get too hyped up about things

awesome-deepbio

A curated list of awesome deep learning applications in the field of computational biology

chess.art

Utility code for chess.art anvil website

code

Code samples from Mastering Python (https://www.packtpub.com/application-development/mastering-python)

cuda_parallel_prefix_scan

Python implementation of Blelloch's parallel prefix scan using Numba CUDA.

dask-tutorial

Dask tutorial

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

dino_runner

pygame-powered implementation of Google's dinosaur running game

etf_comparer

fastai

The fastai deep learning library, plus lessons and tutorials

gcn

Implementation of Graph Convolutional Networks in TensorFlow

goenrich

GO enrichment with python -- pandas meets networkx

graphnn

Training computational graph on top of structured data (string, graph, etc)

growthcurveapp

jd-rnaseq-repo

Work done for JD's 2019-20 RNASeq experiments

juicer

A One-Click System for Analyzing Loop-Resolution Hi-C Experiments

leafmap

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

learning_rust

repo for code written as I read the book

numbapro-examples

Examples of NumbaPro in use.

powerlaw

practical_rl

A course in reinforcement learning in the wild

pyan

pyan is a Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods. This is different from running the code and seeing which functions are called and how often; there are various tools that will generate a call graph in that way, usually using debugger or profiling trace hooks - for example: https://pycallgraph.readthedocs.org/ This code was originally written by Edmund Horner, and then modified by Juha Jeronen. See README for the original blog posts and links to their repositories.

qiaseq-singlecell-rna

processing single cell QIAseq UPX RNA reads

radicalization_youtube

Code for the paper "Auditing Radicalization Pathways on YouTube", published at FAT*2020

reinforcement-learning

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

scala

My solutions to Phil Gold's S-99 Problems (http://aperiodic.net/phil/scala/s-99/)

sf_karting_django

Inventory tracking web application for a not-so-fictional company. Brought to life for the Summer 2022 Shopify Backend Developer Intern Challenge.

shopify-2022-data-science-submission

Submission for Shopify's 2022 data science challenge!

statistics-review-cards

A set of PDF (and LaTex) cards for reviewing important concepts in Statistics.

straw

Extract data quickly from Juicebox via straw