A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

Collecting research materials on energy/entropy based models

A Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)

🍓 Build and train energy-based and diffusion models in PyTorch ⚡.

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

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