Mihai Polceanu's repositories
adl2strips
ADL to STRIPS converter from Joerg Hoffmann
difftaichi
10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
downward
The Fast Downward domain-independent classical planning system
EchoStateNetworks
Materials related to the Medium article "Predicting Stock Prices with Echo State Networks".
forbiditerative
ForbidIterative planners for top-k, top-quality, and diverse planning problems
GANLatentDiscovery
The authors official implementation of Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
gmm-torch
Gaussian mixture models in PyTorch.
Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
hopfield-layers
Hopfield Networks is All You Need
liquid_time_constant_networks
Code Repository for Liquid Time-Constant Networks (LTCs)
locating-objects-without-bboxes
PyTorch code for "Locating objects without bounding boxes" - Loss function and trained models
MMD-Variational-Autoencoder-Pytorch-InfoVAE
Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch
narrative.generation
Code for AAAI'21 paper "Narrative Plan Generation with Self-Supervised Learning"
neural-tangents
Fast and Easy Infinite Neural Networks in Python
polceanum.github.io
Personal website
rigl
End-to-end training of sparse deep neural networks with little-to-no performance loss.
Sentence-VAE
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349