Pinned Repositories
Acumuladores
anchor
Code for "High-Precision Model-Agnostic Explanations" paper
anchor-experiments
Experiments for AAAI anchor paper
checklist
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Leitura-de-Bases
lime
Lime: Explaining the predictions of any machine learning classifier
lime-experiments
Code for all experiments.
qa_consistency
Evaluate QA models for consistency
sears
Code for "Semantically Equivalent Adversarial Rules for Debugging NLP Models"
tf-models
Models built with TensorFlow
marcotcr's Repositories
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
marcotcr/checklist
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
marcotcr/anchor
Code for "High-Precision Model-Agnostic Explanations" paper
marcotcr/lime-experiments
Code for all experiments.
marcotcr/sears
Code for "Semantically Equivalent Adversarial Rules for Debugging NLP Models"
marcotcr/anchor-experiments
Experiments for AAAI anchor paper
marcotcr/qa_consistency
Evaluate QA models for consistency
marcotcr/tf-models
Models built with TensorFlow
marcotcr/Leitura-de-Bases
marcotcr/Acumuladores
marcotcr/BlackBoxAuditing
Research code for auditing and exploring black box machine-learning models.
marcotcr/graphs
marcotcr/marcotcr.github.io
marcotcr/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
marcotcr/azure-docs
Open source documentation of Microsoft Azure
marcotcr/edge-connect
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
marcotcr/MnemonicReader
A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task
marcotcr/nlp
🤗nlp – Datasets and evaluation metrics for Natural Language Processing in NumPy, Pandas, PyTorch and TensorFlow
marcotcr/OpenNMT-py
Open-Source Neural Machine Translation in PyTorch http://opennmt.net/
marcotcr/ParlAI
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
marcotcr/pattern
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
marcotcr/pyformlang
A python library to manipulate formal languages
marcotcr/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
marcotcr/pytorch-vqa
Strong baseline for visual question answering
marcotcr/stochastic_modeling
marcotcr/systems
Systems problemsets
marcotcr/unifiedparsing
Codebase and pretrained models for ECCV'18 Unified Perceptual Parsing
marcotcr/uw-mode.github.io
UW Mode Website
marcotcr/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
marcotcr/learning_to_switch