A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
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Nov 6, 2022 - Python
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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
Temporal Network Noise Contrastive Estimation (teneNCE) for Dynamic Link Prediction
🍓 Build and train energy-based and diffusion models in PyTorch ⚡.
Implementation of our paper "Exploiting Unsupervised Data for Emotion Recognition in Conversations" in the Findings of EMNLP-2020.
Code for experiments using Noise Contrastive Learning
Python code for the paper "Variational Noise-Contrastive Estimation", AISTATS 2019, http://proceedings.mlr.press/v89/rhodes19a/rhodes19a.pdf
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