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
- Actor Critic using Kronecker-Factored Trust Region☆19Jul 3, 2018Updated 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
- 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.
- ☆32Feb 11, 2021Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆62Jun 18, 2019Updated 7 years ago
- Tensorflow implementation of ResNet☆14Jul 22, 2017Updated 9 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆140Mar 12, 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
- Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"☆10Feb 16, 2023Updated 3 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆19Feb 14, 2024Updated 2 years ago
- ☆14Nov 13, 2020Updated 5 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Monotone operator equilibrium networks☆54Jun 22, 2020Updated 6 years ago
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆19Feb 14, 2020Updated 6 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆21Jul 27, 2017Updated 9 years ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆25May 13, 2019Updated 7 years ago
- ☆89Jul 25, 2024Updated 2 years ago
- ☆13Feb 17, 2018Updated 8 years ago
- Run Pytorch graphs inside Theano graph (and pytorch wrapper for AIS for generative models).☆18Oct 19, 2017Updated 9 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆87Jul 19, 2020Updated 6 years ago
- Drop-in GPU kernel optimizer for PyTorch models, no CUDA or GPU expertise required☆28Jun 7, 2026Updated 4 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆17Dec 19, 2024Updated last year
- PyTorch Framework for Developing Memory Efficient Deep Invertible Networks☆257Mar 12, 2026Updated 7 months ago
- ☆13Mar 12, 2023Updated 3 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Apr 1, 2022Updated 4 years ago
- ☆14Feb 1, 2017Updated 9 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Jun 21, 2019Updated 7 years ago
- This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)☆16May 19, 2022Updated 4 years ago
- TensorFlow code for paper: Learning Generative ConvNets via Multi-grid Modeling and Sampling☆25Apr 16, 2018Updated 8 years ago
- Implementation of the DIVA model of speech acquisition and production using PyTorch☆23Jan 18, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…☆148May 25, 2017Updated 9 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22May 5, 2019Updated 7 years ago
- Pytorch Implementation of MD4: Simplified and Generalized Masked Diffusion for Discrete Data☆13Feb 5, 2025Updated last year
- Look Ahead Hamiltonian Monte Carlo☆31Mar 29, 2015Updated 11 years ago
- This repo contains the source code accompanying a scientific paper with the same name.☆379Nov 1, 2021Updated 5 years ago
- ☆22Feb 21, 2019Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago