ibm-research-tokyo / diffsnnLinks
An implementation of a differentiable point process and a differentiable spiking neural network.
☆20Updated 4 years ago
Alternatives and similar repositories for diffsnn
Users that are interested in diffsnn are comparing it to the libraries listed below
Sorting:
- ☆19Updated 2 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- ☆47Updated 6 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆81Updated 3 years ago
- Study on the applicability of Direct Feedback Alignment to neural view synthesis, recommender systems, geometric learning, and natural la…☆89Updated 3 years ago
- ☆33Updated 6 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆53Updated 4 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆58Updated 4 years ago
- ☆30Updated 5 years ago
- ☆50Updated 5 years ago
- A PyTorch Implementation of Convolutional Conditional Neural Process.☆53Updated 6 years ago
- ☆13Updated 6 years ago
- Structured matrices for compressing neural networks☆67Updated 2 years ago
- Implementation of deep implicit attention in PyTorch☆65Updated 4 years ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 5 years ago
- ☆54Updated last year
- Limitations of the Empirical Fisher Approximation☆49Updated 10 months ago
- PyTorch re-implementation of parts of "Deep Sets" (NIPS 2017)☆73Updated 7 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆46Updated 3 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Reference implementation for "Group Equivariant Subsampling"☆16Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆41Updated 2 years ago
- Hessian trace estimation using PyTorch and Hutch++☆20Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Nonparametric Score Estimators, ICML 2020☆36Updated 4 years ago
- Code for An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality (ICLR 2020)☆11Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Updated 4 years ago