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Releasing Research Code ⭐ 2,306

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

Neural Manifold Ordinary Differential Equations ⭐ 74

[NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)

Eeg Gcnn ⭐ 56

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"

Attach Juxtapose Parser ⭐ 30

Code for the paper "Strongly Incremental Constituency Parsing with Graph Neural Networks"

Predicting Spectra From Images ⭐ 9

Predicting galaxy spectra from images

Targeted Adversarial Perturbations Monocular Depth ⭐ 9

PyTorch implementation of Targeted Adversarial Perturbations for Monocular Depth Predictions (in NeurIPS 2020)

Memoryefficientstablelds ⭐ 6

Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"

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