Python implementation of "Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit," EMNLP 2018
-
Updated
Mar 9, 2019 - Python
Python implementation of "Free as in Free Word Order: An Energy Based Model for Word Segmentation and Morphological Tagging in Sanskrit," EMNLP 2018
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)
Code for reproducing results in the sliced score matching paper (UAI 2019)
Combining Energy-Based Modeling and RL to solve the challenging Abstract Reasoning Corpus[1] tasks.
Official implementation of "Accurate 3D Object Detection using Energy-Based Models", CVPR Workshops 2021.
Official Implementation for AAAI 2021 "Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation"
Tensorflow Implementation of Conditional CoopNets (TPAMI 2021)
CVPR 2021 Oral Paper PatchGenCN
[NeurIPS 2021] Unsupervised Foreground Extraction via Deep Region Competition
Some toy examples of score matching algorithms written in PyTorch
Code for Weakly Supervised Energy-Based Learning for Action Segmentation (ICCV 2019 Oral)
Deep Belief Network for Predicting Compound-Protein Interactions
Post-hoc Out-of-Distribution Detection
A CNN model trained to learn the distribution of the MNIST digits.
A PyTorch implementation of Implicit Behavioral Cloning
Structured Multi-task Learning for Molecular Property Prediction, AISTATS'22 (https://proceedings.mlr.press/v151/liu22e.html)
PyTorch wrapper for Deep Density Estimation Models
This is the repo for the master thesis at ITA - RWTH Aachen
Official PyTorch implementation of "Energy-Based Contrastive Learning of Visual Representations", NeurIPS 2022 Oral Paper
Add a description, image, and links to the energy-based-model topic page so that developers can more easily learn about it.
To associate your repository with the energy-based-model topic, visit your repo's landing page and select "manage topics."