KiddoZhu / primerLinks
A lightweight toolbox for debugging and benchmarking Python code
☆14Updated last year
Alternatives and similar repositories for primer
Users that are interested in primer are comparing it to the libraries listed below
Sorting:
- pytorch implementation of VAE-Gumble-Softmax☆63Updated 5 years ago
- Weekly reading group on Graphs at Mila☆282Updated 6 years ago
- (Beta Version!) Experiment Code for Paper ``CoT: Cooperative Training for Generative Modeling of Discrete Data''☆72Updated 6 years ago
- IPC: A Graph Data Set Compiled from International Planning Competitions☆46Updated 5 years ago
- A simple Pytorch implementation of Gated Graph Neural Networks☆59Updated 6 years ago
- Memory-Based Graph Networks☆104Updated 3 years ago
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆123Updated 6 years ago
- ☆76Updated 7 years ago
- ☆32Updated 6 years ago
- Weekly reading group on Graphs at Mila☆31Updated 6 years ago
- Code for SegTree Transformer (ICLR-RLGM 2019).☆27Updated 5 years ago
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆146Updated 2 years ago
- ☆37Updated 6 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago
- tensorflow-as-gcn☆90Updated 5 years ago
- ☆44Updated 5 years ago
- Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View"☆148Updated 6 years ago
- Z Forcing: Training Stochastic RNN's, NIPS'17☆32Updated 7 years ago
- Code to accompany the paper "Learning Graphical State Transitions"☆171Updated 8 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry …☆314Updated 5 years ago
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆28Updated 7 years ago
- Hyperbolic Neural Networks, pytorch☆87Updated 6 years ago
- Code for the "Neural Expectation Maximization" paper.☆126Updated 2 years ago
- Implementation of Stochastic Beam Search using Fairseq☆105Updated 6 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆65Updated 4 years ago
- Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112☆178Updated 4 years ago
- This is a joint implementation of AdaShift optimizer, LGANs, and MaxGP.☆14Updated 4 years ago
- Contrastive Learning of Structured World Models☆394Updated 5 years ago
- Variational Autoencoders with Gaussian Mixture Latent Space☆36Updated 8 years ago