Pytorch implementation of Planar Flow
☆18Dec 2, 2019Updated 6 years ago
Alternatives and similar repositories for planar-flow-pytorch
Users that are interested in planar-flow-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Understanding normalizing flows☆132Dec 2, 2019Updated 6 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆245Sep 3, 2018Updated 8 years ago
- ☆10Jun 13, 2023Updated 3 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆30May 3, 2018Updated 8 years ago
- FlashSim: A Deep Learning Solution to the HEP simulation problem☆13Feb 28, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Personal implementation of "Variational Inference with Normalizing Flows" by [Rezende, et al., 2015] in PyTorch☆24Jan 14, 2020Updated 6 years ago
- Benchmarking equivariant neural networks.☆10Dec 5, 2020Updated 5 years ago
- ☆12Dec 15, 2020Updated 5 years ago
- ☆32Mar 19, 2020Updated 6 years ago
- ☆31Oct 3, 2022Updated 4 years ago
- aligning molecules☆10Apr 24, 2021Updated 5 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆27Jun 11, 2020Updated 6 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆170Aug 13, 2020Updated 6 years ago
- Machine learning workflows for analyzing high-throughput protein data☆27Nov 22, 2016Updated 9 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code for VIREL: A Variational Inference Framework for Reinforcement Learning☆13Dec 1, 2019Updated 6 years ago
- Open source code combining implementations of Upside Down Reinforcement Learning and Reward Conditioned Policies☆19Mar 10, 2021Updated 5 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Dec 8, 2022Updated 3 years ago
- Co-training for Policy Learning☆13Aug 8, 2019Updated 7 years ago
- A TensorFlow implementation of Invertible Residual Networks☆19Dec 8, 2022Updated 3 years ago
- NeurIPS 2024 + NeuroAI and SSL Workshops (Oral)☆11Dec 6, 2024Updated last year
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆286Dec 14, 2023Updated 2 years ago
- Bayesian optimisation for fast approximate inference in state-space models with intractable likelihoods☆13Nov 29, 2017Updated 8 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆183Aug 19, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- The source code is related to our work- Shreyas Seshadri, Ulpu Remes and Okko Rasanen: "Dirichlet process mixture models for clustering i…☆10Aug 18, 2017Updated 9 years ago
- Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)☆16Aug 17, 2022Updated 4 years ago
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Aug 24, 2021Updated 5 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆639Jul 12, 2021Updated 5 years ago
- Model-Free-Episodic-Control implementation.☆18Jun 3, 2019Updated 7 years ago
- Implementation of the Regularized Nonlinear Acceleration algorithm☆13Oct 4, 2018Updated 8 years ago
- Parallel Computing (B-KUL-H03F9A)☆10Jan 20, 2015Updated 11 years ago
- Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks☆23Apr 29, 2019Updated 7 years ago
- Variational Inference/Variational AutoEncoder + Gaussian Mixtures implementation in zhusuan☆16Jun 3, 2017Updated 9 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Lectures on Bayesian statistics and information theory☆32Oct 13, 2026Updated 3 weeks ago
- ☆15Mar 22, 2023Updated 3 years ago
- For developing and reproducing ML + HEP projects.☆31Updated this week
- Continuous-time gradient flow for generative modeling and variational inference☆34Oct 6, 2018Updated 8 years ago
- ☆182Jul 5, 2019Updated 7 years ago
- PyTorch implementation of the Marginalizable Density Model Approximator☆18Oct 11, 2021Updated 5 years ago
- Ranking Policy Gradient☆23Nov 27, 2019Updated 6 years ago