Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
☆42Jan 12, 2019Updated 7 years ago
Alternatives and similar repositories for RBP
Users that are interested in RBP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆12Dec 7, 2017Updated 8 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Jul 20, 2018Updated 8 years ago
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆23Jun 30, 2020Updated 6 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆45May 11, 2018Updated 8 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28May 13, 2019Updated 7 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.
- ☆31Feb 11, 2021Updated 5 years ago
- Tensorflow implementation of ResNet☆14Jul 22, 2017Updated 9 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Mar 12, 2018Updated 8 years ago
- My Non-Python Utility Functions☆17May 3, 2019Updated 7 years ago
- ☆14Nov 13, 2020Updated 5 years ago
- Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"☆10Feb 16, 2023Updated 3 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Oct 12, 2020Updated 5 years ago
- An ML research codebase built with friends :)☆25Aug 25, 2024Updated last year
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 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.
- Monotone operator equilibrium networks☆53Jun 22, 2020Updated 6 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Dec 16, 2016Updated 9 years ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Apr 5, 2022Updated 4 years ago
- ☆88Jul 25, 2024Updated last year
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆19Feb 14, 2020Updated 6 years ago
- ☆13Feb 17, 2018Updated 8 years ago
- PyTorch Framework for Developing Memory Efficient Deep Invertible Networks☆257Mar 12, 2026Updated 4 months ago
- Implementation of the DIVA model of speech acquisition and production using PyTorch☆23Jan 18, 2023Updated 3 years ago
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆32Nov 28, 2022Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- GuidedSampler: Coverage-guided Sampling of SMT Solutions☆15Jul 9, 2025Updated last year
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆68Apr 1, 2022Updated 4 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆88Jul 19, 2020Updated 6 years ago
- DeltaProduct is a new linear recurrent neural network architecture that uses products of generalized Householder matrices as state-transi…☆15Oct 13, 2025Updated 9 months ago
- [ECCV 2024] Characterizing Robustness via Natural Input Gradients☆13Mar 6, 2026Updated 4 months ago
- ☆14Feb 1, 2017Updated 9 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22May 5, 2019Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Jun 21, 2019Updated 7 years ago
- TensorFlow code for paper: Learning Generative ConvNets via Multi-grid Modeling and Sampling☆25Apr 16, 2018Updated 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.
- Path-SGD: Path-Normalized Optimization in Deep Neural Networks☆19Nov 26, 2018Updated 7 years ago
- Reparameterize your PyTorch modules☆70Dec 31, 2020Updated 5 years ago
- Public code release for the paper "Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training"☆11Oct 27, 2025Updated 8 months ago
- ☆22Feb 21, 2019Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- A Python implementation of the gradient REBAR estimator.☆47Jun 13, 2018Updated 8 years ago
- Code for Semi-crowdsourced Clustering with Deep Generative Models☆12Dec 9, 2022Updated 3 years ago