Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.
☆21Jul 27, 2017Updated 9 years ago
Alternatives and similar repositories for probabilistic_line_search
Users that are interested in probabilistic_line_search are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)☆44Feb 28, 2017Updated 9 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆45May 11, 2018Updated 8 years ago
- Sum-Product Network learning routines in python☆27Jun 10, 2015Updated 11 years ago
- ☆12Dec 7, 2017Updated 8 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆122Mar 27, 2019Updated 7 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.
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Oct 31, 2017Updated 8 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆20Feb 14, 2024Updated 2 years ago
- Actor Critic using Kronecker-Factored Trust Region☆19Jul 3, 2018Updated 8 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 3 years ago
- An implementation of Defeasible Logic in Python☆15Sep 2, 2018Updated 8 years ago
- ☆10Jul 14, 2018Updated 8 years ago
- Code for the paper: Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains☆12Nov 12, 2021Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆61Jan 12, 2019Updated 7 years ago
- ☆14Apr 15, 2025Updated last year
- 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.
- Probabilistic Circuits in Julia☆10Dec 27, 2023Updated 2 years ago
- Very Simple and Basic Implementation of Compositional Pattern Producing Network in TensorFlow☆11Nov 27, 2019Updated 6 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Oct 12, 2024Updated last year
- Monotone operator equilibrium networks☆54Jun 22, 2020Updated 6 years ago
- Implementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.…☆19Feb 4, 2022Updated 4 years ago
- Group project "Algorithms for large-scale optimal transport". Implement ADMMs and Sinkhorn's Algorithms.☆11Jan 28, 2019Updated 7 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆11Nov 14, 2017Updated 8 years ago
- Self-normalizing neural network implemented in PyTorch.☆12Apr 3, 2019Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆42Jan 12, 2019Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- First-order knowledge compilation for lifted probabilistic inference☆11Jun 14, 2017Updated 9 years ago
- Implementation of the paper 'Stochastic Wasserstein Barycenters'☆11Oct 17, 2018Updated 7 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆122Sep 1, 2018Updated 8 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Jul 10, 2018Updated 8 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆30May 9, 2018Updated 8 years ago
- Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.☆23Feb 21, 2018Updated 8 years ago
- Framework for inspecting actions and observatinos in StarCraftII replays☆20Jul 4, 2018Updated 8 years ago
- Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)☆12Jun 7, 2020Updated 6 years ago
- A TensorFlow Label Propagation library☆13Apr 7, 2018Updated 8 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆41Nov 12, 2020Updated 5 years ago
- This repo is not maintained. For latest version, please visit https://github.com/ictnlp. A collection of transformer's guides, implementa…☆44Dec 5, 2018Updated 7 years ago
- An experimental implementation of sum-product networks with dense unitary transformations in leaves☆13Sep 8, 2022Updated 4 years ago
- Zero-suppressed Sentential Decision Diagrams☆12Aug 23, 2021Updated 5 years ago
- ☆15Jan 15, 2019Updated 7 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆22Jul 6, 2023Updated 3 years ago
- csl: PyTorch-based Constrained Learning☆11Jun 1, 2022Updated 4 years ago