Top 13 neurips-2020 open source projects

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

(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper

Implement of DiGCN, NeurIPS-2020

Adversarial Distributional Training (NeurIPS 2020)

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

Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

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.

Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

Official code for NeurRIPS 2020 paper "Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D"

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.

Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning