avinnofaruk

avinnofaruk's Stars

• ggerganov/whisper.cpp

  Port of OpenAI's Whisper model in C/C++

  Language:C++36.5k3.7k

• bambinos/bambi

  BAyesian Model-Building Interface (Bambi) in Python.

  Language:Python1.1k126

• clibassi/python-packages-for-applied-economists

  A curated collection of Python packages for applied economists, organized by functionality to support econometric analysis, data management, visualization, and specialized tasks.

  367

• google/empirical_calibration

  Language:Jupyter Notebook4417

• feature-engine/feature_engine

  Feature engineering package with sklearn like functionality

  Language:Python2k315

• apoorvalal/claude_paper_digester

  programmatic generation of paper digests using claude API

  Language:Jupyter Notebook6

• apoorvalal/synthlearners

  fast synthetic control estimators for panel data problems

  Language:Jupyter Notebook152

• LouisSirugue/Burdett-Mortensen-1998-Simulations

  Simulates the second extension (heterogenous firms) of the Burdett-Mortensen model (1998)

  Language:R11

• tsrobinson/10EconometricTheorems

  Guide to fundamental econometric theorems listed by J. Wooldridge

  Language:TeX3319

• ubcecon/ECON622

  Language:Jupyter Notebook3124

• kolesarm/517

  Econometric Theory I

  213

• tpapp/PkgSkeleton.jl

  Generate Julia package skeletons using a simple template system

  Language:Julia517

• GunnarFarneback/LocalRegistry.jl

  Create and maintain local registries for Julia packages.

  Language:Julia22722

• marketagents-ai/MarketAgents

  A distributed agent orchestration framework for market agents

  Language:Python7311

• thorepet/mwg-review

  LaTeX transcription of definitions, propositions, corollaries, and lemmas from Microeconomic Theory by Mas-Colell, Whinston, Green (MWG, 1995).

  Language:TeX205

• johnjosephhorton/flatex

  A Python script for "flattening" a nested LaTeX document by pulling in all the \input files

  Language:Python6225

• CausalAIBook/MetricsMLNotebooks

  Notebooks for Applied Causal Inference Powered by ML and AI

  Language:Jupyter Notebook9040

• simple-icons/simple-icons

  SVG icons for popular brands

  Language:JavaScript21.5k2.7k

• GeostatsGuy/GeostatsPyDemos

  Well-documented demonstration workflows with the GeostatsPy package.

  Language:Jupyter Notebook507

• keyonvafa/career-code

  Code for the paper "CAREER: Transfer Learning for Economic Prediction of Labor Sequence Data"

  Language:Python358

• keyonvafa/world-model-evaluation

  Language:Jupyter Notebook522

• arpitingle/gpu-alpha

  High Quality Resources on GPU Programming/Architecture

  57317

• ChrisMayfield/ThinkJava2

  LaTeX source for Think Java, 2nd edition, by Allen Downey and Chris Mayfield.

  Language:TeX6843

• seeingtheory/Seeing-Theory

  A visual introduction to probability and statistics.

  Language:HTML1.9k307

• vicapow/explained-visually

  Language:JavaScript87862

• lilianweng/lilianweng.github.io

  My personal page

  Language:HTML54188

• kolesarm/539b

  (Advanced) Applied Econometrics

  25953

• tensorflow/playground

  Play with neural networks!

  Language:TypeScript12.1k2.6k

• GeostatsGuy/Resources

  Inventory of all the educational content that I share on spatial data analytics, geostatistics and machine learning. I hope these resources are helpful, Prof. Michael Pyrcz

  37548

• BloombergGraphics/2024-openai-gpt-hiring-racial-discrimination

  Data and materials to reproduce Bloomberg's investigation into racial and gender bias in OpenAI's GPT

  Language:Jupyter Notebook396