Gladys-Zhao / mRNN-mLSTM
Code for ICML 2020 paper: Do RNN and LSTM have Long Memory?
☆17Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for mRNN-mLSTM
- Python implementation of paper "AntisymmetricRNN: A Dynamical System View on Recurrent Neural Networks"☆14Updated 5 years ago
- STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION☆16Updated 6 years ago
- ☆10Updated 2 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆43Updated 3 years ago
- ☆24Updated 4 years ago
- ☆39Updated 6 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆23Updated last year
- [EMNLP'19] Summary for Transformer Understanding☆52Updated 4 years ago
- Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"☆36Updated 2 years ago
- Implementation of Mogrifier LSTM in PyTorch☆35Updated 4 years ago
- Official code for UnICORNN (ICML 2021)☆27Updated 3 years ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆30Updated 2 years ago
- Curse-of-memory phenomenon of RNNs in sequence modelling☆19Updated this week
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 6 years ago
- Reproducible code for Augmentation paper☆18Updated 5 years ago
- PyTorch Implementation of Variational Recurrent Autoencoder☆10Updated 6 years ago
- Complex domain recurrent neural network gating and Stiefel-manifold optimization in TensorFlow, Neural Information Processing Systems (Ne…☆48Updated 3 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 3 years ago
- A straightforward implementation of EGBM-based Generalized Additive Model☆13Updated 4 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆15Updated 3 years ago
- Lipschitz Recurrent Neural Networks☆27Updated 3 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆26Updated 3 years ago
- An adaptive training algorithm for residual network☆14Updated 4 years ago
- ☆22Updated 2 years ago
- Investigate the speed of adaptation of structural causal models☆16Updated 3 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- ☆12Updated 2 years ago
- PyTorch implementation for PaLM: A Hybrid Parser and Language Model.☆10Updated 4 years ago
- Code base for SRSGD.☆28Updated 4 years ago