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
- (Beta Version!) Experiment Code for Paper ``CoT: Cooperative Training for Generative Modeling of Discrete Data''☆72Updated 6 years ago
- Weekly reading group on Graphs at Mila☆280Updated 6 years ago
- Weekly reading group on Graphs at Mila☆31Updated 6 years ago
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆122Updated 6 years ago
- IPC: A Graph Data Set Compiled from International Planning Competitions☆46Updated 5 years ago
- ☆31Updated 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
- This is a joint implementation of AdaShift optimizer, LGANs, and MaxGP.☆14Updated 4 years ago
- Memory-Based Graph Networks☆103Updated 3 years ago
- tensorflow-as-gcn☆90Updated 5 years ago
- Learning and Reasoning with Graph-Structured Data (ICML 2019 Workshop)☆26Updated 6 years ago
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆146Updated 2 years ago
- Graph Star Net☆110Updated last year
- SparseMax activation function implementation (ICML 2016) (PyTorch)☆28Updated 7 years ago
- ☆118Updated 6 years ago
- Code to accompany the paper "Learning Graphical State Transitions"☆171Updated 8 years ago
- The source code for "An Actor Critic Algorithm for Structured Prediction"☆166Updated 8 years ago
- Contrastive Learning of Structured World Models☆393Updated 5 years ago
- Code for SegTree Transformer (ICLR-RLGM 2019).☆27Updated 5 years ago
- A simple Pytorch implementation of Gated Graph Neural Networks☆59Updated 6 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- Dual Memory Neural Computer☆25Updated 3 years ago
- Z Forcing: Training Stochastic RNN's, NIPS'17☆32Updated 7 years ago
- ☆15Updated 5 years ago
- CompILE: Compositional Imitation Learning and Execution (ICML 2019)☆112Updated 6 years ago
- ☆37Updated 6 years ago
- Implementation of Stochastic Beam Search using Fairseq☆104Updated 6 years ago
- Code for the "Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions" paper.☆73Updated 2 years ago
- PyTorch implementation of Gated Graph Neural Networks by Microsoft Research☆19Updated 7 years ago