Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
☆39Jan 31, 2020Updated 6 years ago
Alternatives and similar repositories for variance-networks
Users that are interested in variance-networks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Uncertainty Estimation via Stochastic Batch Normalization☆20Mar 1, 2018Updated 8 years ago
- Sparse Variational Dropout, ICML 2017☆312May 20, 2020Updated 5 years ago
- Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer☆18Jun 22, 2017Updated 8 years ago
- Learning Deep Disentangled Embeddings with the F-Statistic Loss (NIPS 2018)☆10Oct 17, 2018Updated 7 years ago
- Instantiate objects and call functions using dictionary configs in Python using Genos.☆10Jun 19, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Very simple and short implementation of gradient boosting in 18 lines of code☆10Sep 17, 2020Updated 5 years ago
- ICRL 2020☆20Feb 18, 2020Updated 6 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Jun 14, 2021Updated 4 years ago
- Auxiliary variable Markov chain Monte Carlo methods☆10Oct 24, 2017Updated 8 years ago
- Structured Bayesian Pruning, NIPS 2017☆73Jul 10, 2020Updated 5 years ago
- Variational Inference for a Normal Distribution☆13Mar 11, 2018Updated 8 years ago
- Implementation in pytorch of SR-NMT https://arxiv.org/abs/1805.04185v1☆26Jun 8, 2018Updated 7 years ago
- Keras implementation of guide actor-critic for continuous control☆11Mar 12, 2018Updated 8 years ago
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Nov 3, 2017Updated 8 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Implementation of Adversarial Variational Optimization in PyTorch☆42Aug 7, 2018Updated 7 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Mar 9, 2019Updated 7 years ago
- ☆69May 26, 2018Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Jun 21, 2019Updated 6 years ago
- "Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts" (NeurIPS 2020), original PyTorch implemen…☆56Nov 5, 2020Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Jul 10, 2018Updated 7 years ago
- VAE + Quantile Networks for MNIST☆12Nov 29, 2018Updated 7 years ago
- ☆13Mar 11, 2018Updated 8 years ago
- ☆36Aug 10, 2018Updated 7 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.
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Apr 8, 2020Updated 6 years ago
- Ranking Policy Gradient☆23Nov 27, 2019Updated 6 years ago
- ☆18Mar 26, 2019Updated 7 years ago
- Repository to train models on AffectNet for 231N☆12Jun 8, 2018Updated 7 years ago
- Guided Evolutionary Strategies☆273Apr 6, 2023Updated 3 years ago
- Unbiased and Consistent Nested Sampling via Sequential Monte Carlo☆15May 4, 2025Updated last year
- Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks☆18Nov 5, 2019Updated 6 years ago
- Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras☆31Jun 26, 2016Updated 9 years ago
- Recursive importance sampling for Nyström kernel matrix approximation☆14Sep 7, 2017Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Jul 17, 2020Updated 5 years ago
- Implementation of NeurIPS2020 paper: Auto-Panoptic: Multi-Component Architecture Search for Panoptic Segmentation☆20Nov 10, 2020Updated 5 years ago
- orbital MCMC☆10Jun 17, 2021Updated 4 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆24May 30, 2019Updated 6 years ago
- Code for the blog post on few-shot classification via task representation and communication.☆18May 24, 2017Updated 8 years ago
- Reproduction instructions for "Rapid Adaptation of Neural Machine Translation to New Languages"☆39Aug 7, 2018Updated 7 years ago
- Zeroth-order Min-max Optimization☆13Jun 28, 2020Updated 5 years ago