tristandeleu / jax-comlnLinks
Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)
☆26Updated 3 years ago
Alternatives and similar repositories for jax-comln
Users that are interested in jax-comln are comparing it to the libraries listed below
Sorting:
- Variational Reinforcement Learning☆16Updated 10 months ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- Simple, extensible implementations of some meta-learning algorithms in Jax☆10Updated 4 years ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆32Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Model Agnostic Meta Learning (MAML) implemented in Flax, the neural network library for JAX.☆19Updated 4 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 2 years ago
- Generalised UDRL☆37Updated 3 years ago
- Official repository for the paper "Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules" (…☆22Updated 2 years ago
- [ICLR 2022] Path integral sampler☆46Updated last year
- PyTorch Package For Quasimetric Learning☆42Updated 7 months ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year
- Code for Deep Reinforcement and InfoMax Learning (Neurips 2020)☆10Updated 4 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 3 years ago
- ☆34Updated 3 years ago
- ☆19Updated 3 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. a…☆21Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- ☆53Updated 10 months ago
- Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch☆25Updated 4 years ago
- A differentiation API for PyTorch☆30Updated 4 years ago
- Probabilistic Solution of Differential Equations☆13Updated 2 years ago
- Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)☆49Updated 2 years ago
- This is the official source code for Sequential Neural Processes.☆40Updated 2 years ago
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆19Updated 6 years ago