Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
☆43Jan 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
Sorting:
- ☆12Dec 7, 2017Updated 8 years ago
- Annealed Importance Sampling (AIS) for generative models.☆16Jul 20, 2018Updated 7 years ago
- TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.☆44May 11, 2018Updated 7 years ago
- ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations☆23Jun 30, 2020Updated 5 years ago
- Implementation of AlphaZero in PyTorch.☆10Apr 19, 2019Updated 6 years ago
- Generate SQUAD style dataset from raw text file and train a transformer based question answering model .This repo has code from https://g…☆13Aug 17, 2025Updated 6 months ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27May 13, 2019Updated 6 years ago
- ☆13Nov 13, 2020Updated 5 years ago
- ☆30Feb 11, 2021Updated 5 years ago
- ☆13Feb 17, 2018Updated 8 years ago
- SplitNet implemented based on ResNet-50 trained on ImageNet-22K☆16Jun 18, 2018Updated 7 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 years ago
- Tensorflow implementation of ResNet☆14Jul 22, 2017Updated 8 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Jul 10, 2018Updated 7 years ago
- Distributed A3C☆34Dec 22, 2017Updated 8 years ago
- ONNX Integration Builds☆21May 21, 2018Updated 7 years ago
- A Python implementation of the gradient REBAR estimator.☆47Jun 13, 2018Updated 7 years ago
- Code for "Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight"☆79Oct 18, 2017Updated 8 years ago
- ☆22Feb 21, 2019Updated 7 years ago
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆19Feb 14, 2020Updated 6 years ago
- some tutorials for blog: simonjisu.github.io☆23Mar 25, 2021Updated 4 years ago
- PyTorch Framework for Developing Memory Efficient Deep Invertible Networks☆255May 10, 2023Updated 2 years ago
- An ML research codebase built with friends :)☆26Aug 25, 2024Updated last year
- Mastering PyTorch for Deep Learning, Published by Packt☆15Jan 14, 2021Updated 5 years ago
- Computing gradients and Hessians of feed-forward networks with GPU acceleration☆20Feb 14, 2024Updated 2 years ago
- Code release for the paper "Calibrating Energy-based Generative Adversarial Networks"☆24Oct 31, 2017Updated 8 years ago
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆50Nov 30, 2021Updated 4 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Jul 27, 2017Updated 8 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Mar 12, 2018Updated 7 years ago
- TensorFlow code for paper: Learning Generative ConvNets via Multi-grid Modeling and Sampling☆25Apr 16, 2018Updated 7 years ago
- ☆88Jul 25, 2024Updated last year
- Official implementation of "Minimizing Supervision for Free-space Segmentation" paper☆24Dec 28, 2018Updated 7 years ago
- Monotone operator equilibrium networks☆53Jun 22, 2020Updated 5 years ago
- Semestral project for the subject Methods of computational inteligence @ fit.cvut.cz☆22Jan 31, 2017Updated 9 years ago
- An evolutionary algorithm-based optimization for tracking weights in the OpenSim Residual Reduction Algorithm (RRA).☆11Jul 17, 2023Updated 2 years ago
- Keras Implementation of Flair's Contextualized Embeddings☆26Jul 29, 2021Updated 4 years ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆25May 13, 2019Updated 6 years ago
- A lightweight library for tensorflow 2.0☆65Dec 3, 2019Updated 6 years ago
- ☆24Jul 13, 2016Updated 9 years ago