Anubrata Das (anubrata)

anubrata

Geek Repo

Company:University of Texas, Austin

Location:Austin, TX

Home Page:anubrata.github.io

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Organizations
utexas-goodsystems

Anubrata Das's repositories

ProtoTEx

Code for ACL 2022 paper "ProtoTEx: Explaining Model Decisions with Prototype Tensors"

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annotated-s4

Implementation of https://srush.github.io/annotated-s4

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annotated_deep_learning_paper_implementations

๐Ÿง‘โ€๐Ÿซ 50! Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง 

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turkey-lite

A JavaScript tool for collecting implicit behavioral data on Amazon Mechanical Turk, etc

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anubrata.github.io

My Personal Web Page

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causal-text-papers

Curated research at the intersection of causal inference and natural language processing.

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CLIP

Contrastive Language-Image Pretraining

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deep-rl-class

This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.

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evals

Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.

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fairwork

Server for the Fair Work Mechanical Turk script

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human-centered-machine-learning

Schedule and Syllabus for Human-Centered Machine learning.

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jukebox

Code for the paper "Jukebox: A Generative Model for Music"

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LAMA

LAnguage Model Analysis

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Lil-Bevo

UT Austin's submission to BabyLM Challenge

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lit

The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.

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metaseq

Repo for external large-scale work

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minitorch-js

Minitorch in javascript

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nlpaug

Data augmentation for NLP

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PreSumm

code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

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prompt-fab

Toolkit for building prompt templates for language models

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ProtoPNet

This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).

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RL4LMs

A modular RL library to fine-tune language models to human preferences

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transformers

๐Ÿค— Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

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trlx

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

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XAI-Scholar

Cross-field empirical trends analysis of XAI literature

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