Dan Brown (jdanbrown)

jdanbrown

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Company:Stripe

Location:Boulder

Home Page:http://twitter.com/jdanbrown

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Dan Brown's starred repositories

rich

Rich is a Python library for rich text and beautiful formatting in the terminal.

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ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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nodemon

Monitor for any changes in your node.js application and automatically restart the server - perfect for development

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duf

Disk Usage/Free Utility - a better 'df' alternative

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scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

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ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

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autogluon

AutoGluon: Fast and Accurate ML in 3 Lines of Code

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umap

Uniform Manifold Approximation and Projection

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pastel

A command-line tool to generate, analyze, convert and manipulate colors

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leap.nvim

Neovim's answer to the mouse 🦘

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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.

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pyflame

🔥 Pyflame: A Ptracing Profiler For Python. This project is deprecated and not maintained.

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python-diskcache

Python disk-backed cache (Django-compatible). Faster than Redis and Memcached. Pure-Python.

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emoji

emoji terminal output for Python

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petastorm

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

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pingouin

Statistical package in Python based on Pandas

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mpmath

Python library for arbitrary-precision floating-point arithmetic

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pyspark-ai

English SDK for Apache Spark

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bootstrapped

Generate bootstrapped confidence intervals for A/B testing in Python.

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CloudKitSyncMonitor

Monitor current state of NSPersistentCloudKitContainer sync

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alfred-browser-tabs

🔍 Search browser tabs from Chrome, Brave, Safari, etc..

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distinctipy

A lightweight package for generating visually distinct colours.

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scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python

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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!

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Databricks-VSCode

VSCode extension to work with Databricks

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marshmallow-dataframe

Marshmallow Schema generator for Pandas DataFrames

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pyspark-flame

A low-overhead sampling profiler for PySpark, that outputs Flame Graphs

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