Pedro Rodriguez (EntilZha)

EntilZha

Geek Repo

Company:@facebookresearch, FAIR Labs

Location:Seattle, WA

Home Page:https://www.pedro.ai/

Twitter:@EntilZhaPR

Github PK Tool:Github PK Tool


Organizations
amplab
CoDataScience
Pinafore
SnowGeekOrg

Pedro Rodriguez's repositories

PyFunctional

Python library for creating data pipelines with chain functional programming

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entilzha.github.io

Personal webpage sourcecode

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acl-service-handbook

Community sourced handbook for how to propose/create/run *ACL workshops

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dotfiles-old

Configuration files (dotfiles) repo

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acl-2023

Repository for the ACL 2023 conference website

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acl-miniconf-fork

Repository containing general version of ACL miniconf

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aclpubcheck

Tools for checking ACL paper submissions

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altair

Declarative statistical visualization library for Python

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collaborative-experts

Video embeddings for retrieval with natural language queries

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dynabench

Dynamic Adversarial Benchmarking platform

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FiD

Fusion-in-Decoder

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flax

Flax is a neural network library for JAX that is designed for flexibility.

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irt-leaderboard

Leaderboards are widely used in NLP and push the field forward. While leaderboards are a straightforward ranking of NLP models, this simplicity can mask nuances in evaluation items (examples) and subjects (NLP models). Rather than replace leaderboards, we advocate a re-imagining so that they better highlight if and where progress is made. Building on educational testing, we create a Bayesian leaderboard where latent subject skill and latent item difficulty predict correct responses. Using this model, we analyze the reliability of leaderboards. Afterwards, we show the model can guide what annotate, identify annotation errors, detect overfitting, and identify informative examples.

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jbg-web

Source code for Jordan Boyd-Graber's academic webpage.

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pedroai

Package for python utility functions

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rlmeta

RLMeta is a light-weight flexible framework for Distributed Reinforcement Learning Research.

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scholar.hasfailed.us

Google Scholar is a trans-exclusionary site. Don't use it. Help us demand change.

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transformers

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

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