WayneDW / Contour-Stochastic-Gradient-Langevin-DynamicsView external linksLinks
An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
☆42May 20, 2022Updated 3 years ago
Alternatives and similar repositories for Contour-Stochastic-Gradient-Langevin-Dynamics
Users that are interested in Contour-Stochastic-Gradient-Langevin-Dynamics are comparing it to the libraries listed below
Sorting:
- Code for Non-convex Learning via Replica Exchange Stochastic Gradient MCMC, ICML 2020.☆26Dec 3, 2020Updated 5 years ago
- Code for An Adaptive Empirical Bayesian Method for Sparse Deep Learning (NeurIPS'19)☆20May 1, 2021Updated 4 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆52Aug 9, 2025Updated 6 months ago
- SE(3) Equivariant Augmented Coupling Flows. NeurIPS 2023.☆24Mar 22, 2024Updated last year
- Official implementation of Deep Momentum Schrödinger Bridge☆30Nov 5, 2023Updated 2 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Jun 28, 2019Updated 6 years ago
- ☆14Apr 23, 2019Updated 6 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Mar 12, 2021Updated 4 years ago
- ☆16May 12, 2023Updated 2 years ago
- ☆14May 21, 2024Updated last year
- Surprise-based intrinsic motivation for deep reinforcement learning☆21Mar 6, 2017Updated 8 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Sep 16, 2018Updated 7 years ago
- Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.☆17Aug 2, 2018Updated 7 years ago
- Streamlined version of VirtualFlow combining both VFVS and VFLP☆21Jun 2, 2023Updated 2 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Jul 18, 2025Updated 6 months ago
- Deep RL agents with PyTorch☆36Sep 25, 2021Updated 4 years ago
- Multiscale de-noising score matching☆20Feb 10, 2021Updated 5 years ago
- ☆17Jul 3, 2017Updated 8 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Nov 17, 2019Updated 6 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆51Jan 16, 2019Updated 7 years ago
- ☆28Jan 11, 2021Updated 5 years ago
- A small library for creating and manipulating custom JAX Pytree classes☆56Feb 26, 2023Updated 2 years ago
- Pytorch implementation of the paper Bayesian Generative Active Deep Learning (ICML 2019).☆25May 3, 2019Updated 6 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Jan 31, 2020Updated 6 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Feb 3, 2022Updated 4 years ago
- Code for any videos☆29Feb 17, 2024Updated last year
- My first ever repository, some notebooks useful, others sucks. Topics include file format conversion with obabel, docking with Auto Dock,…☆26Oct 22, 2025Updated 3 months ago
- ☆33Jan 6, 2025Updated last year
- Code that can be used to reproduce the experiments in our paper "Estimating Risk and Uncertainty in Deep Reinforcement Learning"☆31Nov 22, 2022Updated 3 years ago
- Docker containers of baseline agents for the Crafter environment☆30Dec 14, 2021Updated 4 years ago
- Simple illustrative examples for energy-based models in PyTorch☆68Feb 12, 2020Updated 6 years ago
- Policy tree optimization: Heuristic policy search for control of dynamic systems. Uses genetic programming to develop binary trees relati…☆33Sep 27, 2021Updated 4 years ago
- Disagreement-Regularized Imitation Learning☆30May 25, 2021Updated 4 years ago
- Python package built on NAMD/OpenMM and OpenMMTools to perform binding free energy calculations using the TIES protocol.☆34Dec 10, 2023Updated 2 years ago
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆83Jul 27, 2022Updated 3 years ago
- Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.☆30Jul 13, 2020Updated 5 years ago
- A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization p…☆31Mar 20, 2023Updated 2 years ago
- openapi of all third-party☆10Updated this week
- Metal Activity Heuristic of Metalloprotein and Enzymatic Sites (MAHOMES) - Predicts if a protein bound metal ion is enzymatic or non-enzy…☆11Apr 19, 2022Updated 3 years ago