A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
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Updated
Nov 6, 2022 - Python
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)
Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation principle for unnormalized statistical models." (Gutmann and Hyvarinen, AISTATS 2010)
Noise Contrastive Estimation (NCE) in PyTorch
Implementation of our paper "Exploiting Unsupervised Data for Emotion Recognition in Conversations" in the Findings of EMNLP-2020.
Temporal Network Noise Contrastive Estimation (teneNCE) for Dynamic Link Prediction
⚡ Energy-Based Modeling library for PyTorch, offering tools for sampling, inference, and learning in complex distributions.
Python code for the paper "Variational Noise-Contrastive Estimation", AISTATS 2019, http://proceedings.mlr.press/v89/rhodes19a/rhodes19a.pdf
Code for experiments using Noise Contrastive Learning
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