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
- 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
- ☆31Feb 11, 2021Updated 5 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
- My Non-Python Utility Functions☆17May 3, 2019Updated 7 years ago
- ☆14Nov 13, 2020Updated 5 years ago
- Code for the implemenation of the Patch Augmentation technique☆10Nov 28, 2019Updated 6 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Oct 12, 2020Updated 5 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆20Feb 14, 2024Updated 2 years ago
- An ML research codebase built with friends :)☆25Aug 25, 2024Updated last year
- ☆17Dec 19, 2024Updated last year
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 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.
- Monotone operator equilibrium networks☆53Jun 22, 2020Updated 6 years ago
- Variational Autoencoders & Normalizing Flows Project☆18Dec 16, 2016Updated 9 years ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆25May 13, 2019Updated 7 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆21Jul 27, 2017Updated 9 years ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Apr 5, 2022Updated 4 years ago
- ☆88Jul 25, 2024Updated 2 years ago
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆19Feb 14, 2020Updated 6 years ago
- ☆13Feb 17, 2018Updated 8 years ago
- Code for "Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight"☆79Oct 18, 2017Updated 8 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.
- A lightweight library for tensorflow 2.0☆65Dec 3, 2019Updated 6 years ago
- Python implementation of Bayesian hierarchical clustering and Bayesian rose trees algorithms.☆18Feb 16, 2021Updated 5 years ago
- PyTorch Framework for Developing Memory Efficient Deep Invertible Networks☆257Mar 12, 2026Updated 5 months ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34May 11, 2023Updated 3 years 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
- GuidedSampler: Coverage-guided Sampling of SMT Solutions☆15Jul 9, 2025Updated last year
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Apr 1, 2022Updated 4 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆88Jul 19, 2020Updated 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.
- DeltaProduct is a new linear recurrent neural network architecture that uses products of generalized Householder matrices as state-transi…☆17Oct 13, 2025Updated 10 months 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
- Recognizing and exploiting conjugacy without a domain-specific language☆36Dec 1, 2019Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆62Jun 18, 2019Updated 7 years ago
- ☆22Feb 21, 2019Updated 7 years ago