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Jupyter Notebook
Last Updated
Apr 24, 2023
Similar Repos
Repo | Language | Stars | Description | Updated At |
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Python | 13 | The project page of paper: Projection & Probability-Driven Black-Box Attack [CVPR 2020] | Apr 26, 2023 | |
C++ | 173 | [NIPS 2017] InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations | Nov 24, 2022 | |
Python | 2 | code for reproducing the ICML 2020 paper "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning … | May 19, 2022 | |
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Jupyter Notebook | 13 | Repository for the paper "Benchmarking and Survey of Explanation Methods for Black Box Models" | Jul 04, 2022 | |
Python | 31 | Code for "Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and … | Apr 12, 2023 | |
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None | 3 | Starter kit for the black box optimization challenge at Neurips 2020 | Dec 12, 2020 | |
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Python | 3 | Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models" | Oct 09, 2017 | |
Python | 4 | Out-of-the-box outside-of-the-box thinking | Oct 14, 2022 | |
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Python | 14 | Easy black-box access to state-of-the-art language models | Mar 27, 2023 | |
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Lua | 119 | Code for the NIPS 2016 paper | Aug 13, 2022 | |
JavaScript | 10 | Primo: Practical Learning-Augmented Systems with Interpretable Models | Apr 13, 2023 | |
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Python | 143 | Explainer for black box models that predict molecule properties | Sep 08, 2022 | |
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Python | 167 | Code for ICML 2019 paper "Simple Black-box Adversarial Attacks" | Apr 30, 2023 | |
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Python | 14 | Generating complex, nonlinear datasets appropriate for use with deep learning/black box models which 'need' nonlinearity | Aug 09, 2022 | |
Python | 8 | This repository provides code for the paper ---- On Universal Black-Box Domain Adaptation. | Aug 05, 2022 | |
Python | 4 | Deep Learning Cloud Service for Black-Box Adversarial Attacks | Jan 06, 2023 | |
Python | 2 | This repository contains the code and models necessary to replicate the results of paper: How … | Mar 17, 2022 | |
Python | 11 | The official code to reproduce results from the NACCL2019 paper: White-to-Black: Efficient Distillation of Black-Box … | Apr 15, 2023 | |
Python | 64 | CodeBase for Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / … | Apr 26, 2023 | |
Python | 14 | A Lucid Framework for Transparent and Interpretable Machine Learning Models. | Feb 13, 2022 | |
Python | 4 | Paper sources for the NIPS 2018 MLsys workshop paper on ensmallen | Jan 28, 2021 | |
Python | 54 | The code release of paper 'Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization' NIPS … | May 20, 2023 | |
Jupyter Notebook | 2 | 🏖 Keras Implementation of Painting outside the box | Jan 18, 2023 | |
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Python | 7 | Companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial … | Jan 13, 2022 | |
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None | 5 | Code for Discovering Representations for Black-box Optimization (Gaier et al., GECCO 2020) | Dec 06, 2022 | |
Python | 77 | SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models | May 23, 2023 | |
Python | 64 | The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification". | Apr 12, 2023 | |
Python | 2 | Companion code of the paper "Online Search Orthogonal Matching Pursuit" | Jan 21, 2017 | |
Python | 8 | Public implementation of ICML'19 paper "White-box vs Black-box: Bayes Optimal Strategies for Membership Inference" | Jun 06, 2022 | |
R | 25 | Helpers for parameters in black-box optimization, tuning and machine learning. | May 06, 2022 |