☆30Oct 26, 2020Updated 5 years ago
Alternatives and similar repositories for igr
Users that are interested in igr are comparing it to the libraries listed below
Sorting:
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Feb 14, 2020Updated 6 years ago
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆11Oct 20, 2020Updated 5 years ago
- ☆37Nov 28, 2022Updated 3 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Apr 27, 2020Updated 5 years ago
- Bottom-up Open-source Coarse-graining Software☆21Aug 9, 2024Updated last year
- Implementation of various generative models☆14Oct 1, 2018Updated 7 years ago
- Recurrent Neural Filters for Time Series Prediction☆23Mar 27, 2020Updated 5 years ago
- A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)☆14Mar 31, 2020Updated 5 years ago
- Molecular mechanics systems and simulation data☆19Jun 3, 2024Updated last year
- Deep Supervised Graph Partitioning Model☆14Aug 3, 2021Updated 4 years ago
- Builder for molecular systems☆17Feb 3, 2026Updated 3 weeks ago
- Implementation of the SuRP algorithm by the authors of the AISTATS 2022 paper "An Information-Theoretic Justification for Model Pruning".…☆14May 4, 2022Updated 3 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆273Sep 19, 2023Updated 2 years ago
- A software package to identify and locate knots in polymers☆14Nov 20, 2022Updated 3 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Jan 5, 2021Updated 5 years ago
- An empirical investigation of deep learning theory☆16Oct 3, 2019Updated 6 years ago
- VGrow for deep generative learning☆12Feb 1, 2019Updated 7 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆36Jun 25, 2020Updated 5 years ago
- Implementation of Differentiable Molecular Simulations with torchMD.☆16Oct 9, 2023Updated 2 years ago
- A framework that calibrates object properties through differentiable simulations of robot-object interactions.☆24May 3, 2025Updated 9 months ago
- Martingale Posteriors with Copulas☆23Mar 19, 2024Updated last year
- Optimizing control variates for black-box gradient estimation☆163Jul 26, 2019Updated 6 years ago
- The code for the paper: https://arxiv.org/pdf/1802.00168.pdf☆17Oct 2, 2019Updated 6 years ago
- RL Experiments from our paper "Backpropagation Through the Void": https://arxiv.org/abs/1711.00123. Lovingly forked from OpenAI's RL Base…☆39Feb 21, 2018Updated 8 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Jul 1, 2020Updated 5 years ago
- Official PyTorch implementation of "DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models" (ICLR 2024)☆43Mar 20, 2024Updated last year
- A list of papers for group meeting☆19Jan 5, 2026Updated last month
- Robust NN MD simulator☆21Aug 3, 2023Updated 2 years ago
- Learning Longer-term Dependencies in RNNs with Auxiliary Losses - Implementation in PyTorch.☆17Aug 26, 2018Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- ☆50Oct 22, 2020Updated 5 years ago
- An ML research codebase built with friends :)☆26Aug 25, 2024Updated last year
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22May 5, 2019Updated 6 years ago
- Code for paper https://arxiv.org/abs/2306.07961☆53Sep 18, 2025Updated 5 months ago
- [NAACL 2022] "SemAttack: Natural Textual Attacks via Different Semantic Spaces" by Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li☆21Jun 11, 2022Updated 3 years ago
- ☆18Apr 22, 2020Updated 5 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆24May 10, 2019Updated 6 years ago
- Code of "Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches"☆22Apr 22, 2018Updated 7 years ago
- PyTorch Implementation of "Convolutional Neural Networks with Layer Reuse", codes and pretrained models.☆24May 2, 2019Updated 6 years ago