atcbosselut

bif-parser

The is a parser for BIF files

comet-commonsense

Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317

Counterfactual-StoryRW

code and data for EMNLP-19 paper "Counterfactual Story Reasoning and Generation" https://arxiv.org/abs/1909.04076

GEM-benchmark.github.io

half-rectifier-circuit

Built a half rectifier circuit

ml-surveys

📋 Survey papers summarizing advances in machine learning.

portfolio-covariance-estimation

Code, Documentation and Thesis for Undergraduate Research Project on the application of the iterative algorithm for computing the MVDR filter to financial portfolios.

rc-data

Question answering dataset featured in "Teaching Machines to Read and Comprehend

scs-baselines

Baseline models for the paper: "Modeling Naive Psychology of Characters in Simple Commonsense Stories" by Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight and Yejin Choi

website

Source Code for my website

atcbosselut/comet-commonsense

Code for ACL 2019 Paper: "COMET: Commonsense Transformers for Automatic Knowledge Graph Construction" https://arxiv.org/abs/1906.05317

atcbosselut/scs-baselines

Baseline models for the paper: "Modeling Naive Psychology of Characters in Simple Commonsense Stories" by Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight and Yejin Choi

atcbosselut/portfolio-covariance-estimation

Code, Documentation and Thesis for Undergraduate Research Project on the application of the iterative algorithm for computing the MVDR filter to financial portfolios.

atcbosselut/bif-parser

The is a parser for BIF files

atcbosselut/Counterfactual-StoryRW

code and data for EMNLP-19 paper "Counterfactual Story Reasoning and Generation" https://arxiv.org/abs/1909.04076

atcbosselut/GEM-benchmark.github.io

atcbosselut/half-rectifier-circuit

Built a half rectifier circuit

atcbosselut/ml-surveys

📋 Survey papers summarizing advances in machine learning.

atcbosselut/rc-data

Question answering dataset featured in "Teaching Machines to Read and Comprehend

atcbosselut/website

Source Code for my website

atcbosselut/academic-kickstart

Easily create a beautiful website using Academic and Hugo

atcbosselut/adversarial-factcheck

AAAI-22 paper: Synthetic Disinformation Attacks on Automated Fact Verification Systems

atcbosselut/ComFact

atcbosselut/connect-four-ai

atcbosselut/cse544-assignments

atcbosselut/CSrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

atcbosselut/electra

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

atcbosselut/fp-adwin5-wmontgomery4-ryanmaas

Interactive Learning for Hierarchy of Concepts

atcbosselut/GreaseLM

[ICLR 2022 spotlight] GreaseLM: Graph REASoning Enhanced Language Models for Question Answering

atcbosselut/lda2vec

atcbosselut/lejos-blockstacker

Block-stacking robot implementation on lejos NXJ with Java

atcbosselut/Megatron-LLM

distributed trainer for LLMs

atcbosselut/neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

atcbosselut/NLGWebsite

Web template of an interface that can be hooked up to an NLG model.

atcbosselut/NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

atcbosselut/python-progressbar

Automatically exported from code.google.com/p/python-progressbar

atcbosselut/pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

atcbosselut/qagnn

[NAACL 2021] QAGNN: Question Answering using Language Models and Knowledge Graphs 🤖

atcbosselut/spn-discriminative

This project implements a DAG-structured Sum-product network

atcbosselut/transformer-abstractive-summarization

Code for the paper "Efficient Adaption of Pretrained Transformers for Abstractive Summarization"