AdityaSidharta

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@columbia

New York, NY

https://adityasidharta.com/

Aditya Kelvianto Sidharta's starred repositories

996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

NOASSERTION269273 42200

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Language:PythonApache-2.0127951 1098 15043

code-server

VS Code in the browser

Language:TypeScriptMIT66285 728 3451

slate

Beautiful static documentation for your API

Language:SCSSApache-2.035945 506 607

lazydocker

The lazier way to manage everything docker

Language:GoMIT35064 242 302

streamlit

Streamlit — A faster way to build and share data apps.

Language:PythonApache-2.032966 317 4255

loguru

Python logging made (stupidly) simple

Language:PythonMIT18590 140 972

gitmoji

An emoji guide for your commit messages. 😜

Language:TypeScriptMIT15409 78 553

kepler.gl

Kepler.gl is a powerful open source geospatial analysis tool for large-scale data sets.

Language:TypeScriptMIT10100 209 1202

tsfresh

Automatic extraction of relevant features from time series:

Language:Jupyter NotebookMIT8190 167 528

instaloader

Download pictures (or videos) along with their captions and other metadata from Instagram.

Language:PythonMIT8006 153 2041

albert

A fast and flexible keyboard launcher

Language:C++NOASSERTION7128 87 1111

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Language:PythonMIT6860 137 452

awesome

awesome window manager

Language:LuaGPL-2.06194 167 1859

causalml

Uplift modeling and causal inference with machine learning algorithms

Language:PythonNOASSERTION4856 84 389

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.

Language:Jupyter NotebookNOASSERTION3624 77 549

dotfiles

There is no place like ~/

Language:CSSGPL-2.03454 68 169

vulture

Find dead Python code

Language:PythonMIT3149 27 205

knockknock

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

Language:PythonMIT2758 65 41

m2cgen

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

Language:PythonMIT2737 50 108

notifiers

The easy way to send notifications

Language:PythonMIT2619 30 102

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

Language:Jupyter NotebookGPL-3.02206 97 50

ngboost

Natural Gradient Boosting for Probabilistic Prediction

Language:PythonApache-2.01613 44 206

VirtScreen

Make your iPad/tablet/computer into a secondary monitor on Linux.

Language:PythonGPL-3.01608 24 115

ShadowFox

A universal dark theme for Firefox

Language:JavaScriptMIT1317 37 271

pdoc

:snake: :arrow_right: :scroll: Auto-generate API documentation for Python projects

Language:PythonAGPL-3.01105 10 314

portray

Your Project with Great Documentation.

Language:PythonMIT860 16 64

even-better-ls

LS + Icons + Formatting

Language:C483 17 21

pyltr

Python learning to rank (LTR) toolkit

Language:PythonBSD-3-Clause463 17 14

pylift

Uplift modeling package.

Language:PythonBSD-2-Clause367 21 28