vsimkus / torch-reparametrised-mixture-distribution
PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.
☆19Updated last year
Alternatives and similar repositories for torch-reparametrised-mixture-distribution:
Users that are interested in torch-reparametrised-mixture-distribution are comparing it to the libraries listed below
- This is the official source code for Sequential Neural Processes.☆40Updated 2 years ago
- [ICLR 2022] Path integral sampler☆45Updated last year
- ☆50Updated 4 years ago
- Generalised UDRL☆37Updated 2 years ago
- Library for Auto-Encoding Sequential Monte Carlo☆18Updated last year
- Code for "MetaFun: Meta-Learning with Iterative Functional Updates"☆14Updated 4 years ago
- Variational Reinforcement Learning☆16Updated 8 months ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated 2 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Official implementation of Transformer Neural Processes☆72Updated 2 years ago
- Code release for "Stochastic Optimal Control Matching"☆32Updated 7 months ago
- ☆64Updated last year
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆32Updated 2 years ago
- Simplistic Pytorch Implementation of the Dreamer-RL☆21Updated 2 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆20Updated 2 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 4 years ago
- Code repository complementing the ICLR 2021 paper "Unsupervised Object Keypoint Learning using Local Spatial Predictability" (https://arx…☆9Updated 2 months ago
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆17Updated last year
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆44Updated 2 years ago
- ☆13Updated last year
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆32Updated 2 years ago
- ☆49Updated 4 years ago
- Neural Diffusion Processes☆77Updated 7 months ago
- Clockwork Variational Autoencoder☆47Updated 3 years ago
- Code for our TMLR paper "Distributional GFlowNets with Quantile Flows".☆10Updated last year
- Pytorch implementation of neural processes and variants☆27Updated 8 months ago
- Z Forcing: Training Stochastic RNN's, NIPS'17☆32Updated 7 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Updated last year
- Official repository for paper "Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching" (ICML…☆25Updated 2 years ago