Code for Non-convex Learning via Replica Exchange Stochastic Gradient MCMC, ICML 2020.
☆26Dec 3, 2020Updated 5 years ago
Alternatives and similar repositories for Replica_Exchange_Stochastic_Gradient_MCMC
Users that are interested in Replica_Exchange_Stochastic_Gradient_MCMC are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch implementation of the paper Bayesian Generative Active Deep Learning (ICML 2019).☆25May 3, 2019Updated 7 years ago
- Stochastic Gradient MCMC algorithms implemented in theano (and autograd)☆10Jan 24, 2017Updated 9 years ago
- Online Variance Reduction☆15May 9, 2019Updated 7 years ago
- AdaX: Adaptive Gradient Descent with Exponential Long Term Momery☆34May 8, 2020Updated 6 years ago
- Official implementation of CoNSAL for analytical Lyapunov function discovery☆12Jun 26, 2024Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- The code for Meta Learning for SGMCMC☆25Feb 21, 2019Updated 7 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆36Sep 16, 2018Updated 7 years ago
- Quantifying Uncertainty in Deep Spatiotemporal Forecasting☆12Mar 20, 2021Updated 5 years ago
- Adaptive gradient descent without descent☆53Oct 12, 2021Updated 4 years ago
- Python Laboratory for Dislocation Dynamics☆12May 3, 2026Updated last week
- Code repository for Particle Denoising Diffusion Sampler☆15Apr 2, 2024Updated 2 years ago
- Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer☆18Jun 22, 2017Updated 8 years ago
- The performance of turbo equalizers in both ISI channel and multipath fading channel is evaluated☆11Nov 24, 2020Updated 5 years ago
- POMDP wrappers for OpenAI Gym☆15Nov 4, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆14Jan 22, 2022Updated 4 years ago
- A lightweight triton-based General Matrix Multiplication (GEMM) library.☆61May 4, 2026Updated last week
- Pytorch implementation of Deep Hedging, Utility Maximization and Portfolio Optimization☆18Sep 22, 2024Updated last year
- ☆18Jun 1, 2021Updated 4 years ago
- ☆33Jul 8, 2024Updated last year
- ☆28Sep 3, 2019Updated 6 years ago
- Inferring the Similarity of Task-Derived Representations from Brain Activity☆16Nov 22, 2022Updated 3 years ago
- Train a simple convnet on the MNIST dataset and evaluate the BALD acquisition function☆16Aug 7, 2017Updated 8 years ago
- ☆11Jan 16, 2020Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆20Oct 13, 2016Updated 9 years ago
- Efficient Video Prediction via Sparsely Conditioned Flow Matching. In ICCV, 2023.☆24Jun 5, 2024Updated last year
- Constrained Decoding of Diffusion LLMs with Context-Free Grammars.☆48Dec 17, 2025Updated 4 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Oct 23, 2023Updated 2 years ago
- The MATLAB code below implements the second-order SPSA (simultaneous perturbation stochastic approximation) and second-order SG (stochast…☆13Nov 27, 2020Updated 5 years ago
- ☆12Jun 15, 2021Updated 4 years ago
- Iterative decoding of turbo codes using the Soft Output Viterbi Algorithm (SOVA)☆10Feb 5, 2021Updated 5 years ago
- Implemenation of Semi-Supervised Learning using GANs in PyTorch for MNIST and CIFAR-10 datasets☆16Mar 21, 2019Updated 7 years ago
- Working on the model of Deep Symbolic Networks☆21Jul 15, 2017Updated 8 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Python version of FastPM☆12Jul 20, 2020Updated 5 years ago
- ☆11Jun 2, 2021Updated 4 years ago
- The sparse Bayesian learning sandbox☆11Jul 4, 2021Updated 4 years ago
- Implementation of various equivariant models in JAX☆19Apr 12, 2024Updated 2 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Sep 8, 2022Updated 3 years ago
- Salvaging Federated Learning by Local Adaptation☆56Jul 25, 2024Updated last year
- OMNI-P2x: A universal neural network potential for excited states☆13Mar 19, 2026Updated last month