zzhang1987 / Factor-Graph-Neural-NetworkLinks
Factor Graph Neural Network
☆74Updated 4 years ago
Alternatives and similar repositories for Factor-Graph-Neural-Network
Users that are interested in Factor-Graph-Neural-Network are comparing it to the libraries listed below
Sorting:
- Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum☆176Updated 6 years ago
- ☆21Updated 5 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆28Updated 3 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated 2 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆48Updated 2 years ago
- ☆23Updated 4 years ago
- Solving LPs with convergent message passing☆66Updated 2 years ago
- Particle Filter Recurrent Neural Networks (AAAI 2020)☆79Updated last year
- Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone☆54Updated 2 years ago
- Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"☆91Updated 5 years ago
- ☆39Updated 5 years ago
- Code for ICRA2018 - Intent-aware Multi-agent Reinforcement Learning.☆22Updated 7 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆57Updated 2 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Updated 3 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆53Updated 5 years ago
- Useful resources to learn lifelong learning☆22Updated 7 years ago
- ☆78Updated 4 years ago
- Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".☆59Updated last year
- Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"☆186Updated 2 years ago
- Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning☆17Updated 5 years ago
- Factor graphs and loopy belief propagation implemented in Python☆194Updated 3 years ago
- Companion website for the article Learning Long-Range Perception Using Self-Supervision from Short-Range Sensors and Odometry☆12Updated 3 years ago
- Python implementation of Sum-Product for Factor Graphs☆44Updated 9 years ago
- Implementation of MLP (python) and CNN (PyTorch) with Information Plane visualization.☆14Updated 7 years ago
- Factoried Neural Relational Inference for Multi-Interacting Systems☆30Updated 6 years ago
- clone/download codes from https://anonymous.4open.science/☆33Updated 3 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 3 years ago
- A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf☆14Updated 6 years ago
- Finding shortest paths with Graph Networks☆115Updated 6 years ago