Dan Brown's starred repositories
EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
python-diskcache
Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.
pyspark-ai
English SDK for Apache Spark
bootstrapped
Generate bootstrapped confidence intervals for A/B testing in Python.
CloudKitSyncMonitor
Monitor current state of NSPersistentCloudKitContainer sync
alfred-browser-tabs
🔍 Search browser tabs from Chrome, Brave, Safari, etc..
distinctipy
A lightweight package for generating visually distinct colours.
infinite-ai-array
Do you worry that you'll get to the end of a good list and have nothing more, leaving you sad and starved of data? Worry no more!
Databricks-VSCode
VSCode extension to work with Databricks
marshmallow-dataframe
Marshmallow Schema generator for Pandas DataFrames
pyspark-flame
A low-overhead sampling profiler for PySpark, that outputs Flame Graphs