A Pytorch implementation of the KWNG estimator
☆14Jul 25, 2024Updated last year
Alternatives and similar repositories for KWNG
Users that are interested in KWNG are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆13Mar 9, 2021Updated 5 years ago
- Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations☆22Mar 25, 2023Updated 3 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Jun 24, 2020Updated 6 years ago
- Implementation for paper : EM-driven unsupervised learning for efficient motion segmentation☆18Feb 16, 2023Updated 3 years ago
- Official Implementation of Knowledge Flow Prompting☆35Oct 20, 2025Updated 8 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆10Apr 2, 2018Updated 8 years ago
- lime-ner: extending LIME for Named Entity Recognition☆10Aug 15, 2018Updated 7 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆26Feb 3, 2020Updated 6 years ago
- Group project "Algorithms for large-scale optimal transport". Implement ADMMs and Sinkhorn's Algorithms.☆11Jan 28, 2019Updated 7 years ago
- ☆24Mar 1, 2022Updated 4 years ago
- Official implementation for Text Generation Beyond Discrete Token Sampling☆26Aug 11, 2025Updated 10 months ago
- Limitations of the Empirical Fisher Approximation☆48Mar 3, 2025Updated last year
- Implementation of the paper 'Stochastic Wasserstein Barycenters'☆11Oct 17, 2018Updated 7 years ago
- Modified version of the LeagueSandbox project which relies on a Redis server to accept actions and send observations. Intended for reinfo…☆13Feb 23, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆19Feb 18, 2024Updated 2 years ago
- Implementation of a network for Handwriting Synthesis based on the work of Generating Sequences With Recurrent Neural Networks by Alex Gr…☆12May 12, 2025Updated last year
- Regularized Neural ODEs (RNODE)☆81Jul 16, 2021Updated 4 years ago
- This repository contains code implementation of the paper "AI-Guardian: Defeating Adversarial Attacks using Backdoors, at IEEE Security a…☆14Aug 13, 2023Updated 2 years ago
- Code for "Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation"☆13Jul 10, 2020Updated 5 years ago
- An adaptive training algorithm for residual network☆17Aug 22, 2020Updated 5 years ago
- Code corresponding to the paper: "On the Robustness of Vision Transformers": https://arxiv.org/abs/2104.02610☆25Dec 16, 2025Updated 6 months ago
- csl: PyTorch-based Constrained Learning☆11Jun 1, 2022Updated 4 years ago
- Companion codes for the paper "Decentralized Frank-Wolfe Algorithm for Convex and Non-convex Problems", accepted by IEEE TAC☆12Oct 3, 2017Updated 8 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A feature-complete gate-level microcoded Intel 4004 in 4004 bytes of C, capable of emulating the original Busicom calculator ROM for whic…☆29Aug 5, 2025Updated 11 months ago
- Pytorch implementation for the pilot study on the robustness of latent diffusion models.☆12Jun 20, 2023Updated 3 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆25Jun 20, 2021Updated 5 years ago
- ICRL 2020☆20Feb 18, 2020Updated 6 years ago
- ☆14Mar 1, 2019Updated 7 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22May 5, 2019Updated 7 years ago
- A module for pulling python license data from `environment.yaml` and `requirements.txt` files☆11Nov 23, 2018Updated 7 years ago
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆11May 17, 2024Updated 2 years ago
- This is the repository for USENIX Security 2023 paper "Hard-label Black-box Universal Adversarial Patch Attack".☆15Sep 5, 2023Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Source code for "Sub-sampled Cubic Regularization for Non-convex Optimization", JM Kohler, A Lucchi, https://arxiv.org/abs/1705.05933☆16Dec 12, 2018Updated 7 years ago
- Gradient Estimation in Stochastic Computation Graphs using TensorFlow.☆17Dec 20, 2017Updated 8 years ago
- Experiments of amortized stein variational gradient☆17Apr 30, 2017Updated 9 years ago
- PyTorch implementation of Hessian Free optimisation☆44Dec 19, 2019Updated 6 years ago
- Tensorflow implementation of Stein Variational Gradient Descent (SVGD)☆26Jan 13, 2018Updated 8 years ago
- Some convenient hacks when using Nonconvex.jl.☆17Feb 10, 2026Updated 4 months ago
- Code of the paper "Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective"☆21May 22, 2018Updated 8 years ago