Marco Tulio Correia Ribeiro

Elite
@marcotcr

lime. Lime: Explaining the predictions of any machine learning classifier

12k

checklist. Beyond Accuracy: Behavioral Testing of NLP models with CheckList

2k

anchor. Code for "High-Precision Model-Agnostic Explanations" paper

815

lime-experiments. Code for all experiments.

322

sears. Code for "Semantically Equivalent Adversarial Rules for Debugging NLP Models"

88

anchor-experiments. Experiments for AAAI anchor paper

66

qa_consistency. Evaluate QA models for consistency

20

tf-models. Models built with TensorFlow

18

Leitura-de-Bases. C++

3

marcotcr.github.io. HTML

2

BlackBoxAuditing. Research code for auditing and exploring black box machine-learning models.

2

Acumuladores. C++

2

semantic-segmentation-pytorch. Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

2

graphs. Python

2

pyformlang. A python library to manipulate formal languages

1

pattern. Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

1

azure-docs. Open source documentation of Microsoft Azure

1

nlp. 🤗nlp – Datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow

1

tp_ri. C++

1

stochastic_modeling. R

1

edge-connect. EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

1

xgboost. Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

1

systems. Systems problemsets

1

uw-mode.github.io. UW Mode Website

1

MnemonicReader. A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task

1

unifiedparsing. Codebase and pretrained models for ECCV'18 Unified Perceptual Parsing

1

pytorch-vqa. Strong baseline for visual question answering

1

ParlAI. A framework for training and evaluating AI models on a variety of openly available dialog datasets.

1

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

1

OpenNMT-py. Open-Source Neural Machine Translation in PyTorch http://opennmt.net/

1
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