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A game theoretic approach to explain the output of any machine learning model.
Jupyter Notebook MIT License UpdatedJul 3, 2022 -
lime Public
Forked from marcotcr/limeLime: Explaining the predictions of any machine learning classifier
JavaScript BSD 2-Clause "Simplified" License UpdatedJul 3, 2022 -
learning_by_interpreting_NMT Public
NMT experiments for paper "Learning by Interpreting".
Shell UpdatedJun 27, 2022 -
fairseq Public
Forked from facebookresearch/fairseqFacebook AI Research Sequence-to-Sequence Toolkit written in Python.
Python MIT License UpdatedJun 27, 2022 -
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baselines Public
Forked from openai/baselinesOpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Python MIT License UpdatedJan 2, 2021 -
multiagent-particle-envs Public
Forked from shariqiqbal2810/multiagent-particle-envs -
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maddpg-pytorch Public
Forked from shariqiqbal2810/maddpg-pytorchPyTorch Implementation of MADDPG (Lowe et. al. 2017)
Python MIT License UpdatedNov 26, 2019 -
Text-Summarizer-Pytorch Public
Forked from rohithreddy024/Text-Summarizer-PytorchPytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network
Python UpdatedOct 1, 2019
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