Implementation of Riemannian optimization for skip-gram negative sampling (ACL 2017)
☆19Apr 26, 2018Updated 8 years ago
Alternatives and similar repositories for ro_sgns
Users that are interested in ro_sgns are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Quadrature-based features for kernel approximation☆16Oct 30, 2018Updated 7 years ago
- Source code for Hierarchical Probabilistic Forecasting of Electricity Demand with Smart Meter Data by Ben Taieb, Souhaib, Taylor, James, …☆10Sep 4, 2019Updated 6 years ago
- Gradient-free optimization method for the multidimensional arrays and discretized multivariate functions based on the tensor train (TT) f…☆41Apr 29, 2025Updated last year
- LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates☆18Aug 17, 2019Updated 6 years ago
- ☆59Jul 6, 2020Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆11Dec 6, 2020Updated 5 years ago
- CURRENNT -- CUDA-enabled machine learning library for recurrent neural network☆16Feb 20, 2020Updated 6 years ago
- Learning wordnet using tensor neural network☆15Jun 15, 2015Updated 10 years ago
- Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.☆25Jul 11, 2019Updated 6 years ago
- Implementations of different reinforcement learning algorithms☆10Aug 23, 2018Updated 7 years ago
- A PyTorch implementation of Recurrent Additive Networks by Lee et al. (2017)☆29Oct 17, 2017Updated 8 years ago
- ☆13Mar 22, 2018Updated 8 years ago
- Continuous Space Language and Translation Model Toolkit☆12Aug 12, 2015Updated 10 years ago
- ☆12Jul 19, 2018Updated 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.
- Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"☆16Apr 27, 2020Updated 6 years ago
- Faster and Lighter LoRA Implementations☆13Nov 21, 2024Updated last year
- Accelerated Confergence for Counterfactual Learning to Rank☆17Jan 21, 2022Updated 4 years ago
- The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"☆11Jul 15, 2020Updated 5 years ago
- Planning Algorithms in AI and Robotics. MSc course at Skoltech Data Science program☆10Dec 6, 2021Updated 4 years ago
- Neural likelihood-free methods in PyTorch.☆39Feb 11, 2020Updated 6 years ago
- Adversarial Lipschitz Regularization☆10Jun 10, 2021Updated 4 years ago
- Data and code for APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations (COLING 2022)…☆13Sep 8, 2022Updated 3 years ago
- Repository for SIGIR'18 paper: "Ranking for Relevance and Display Preferences in Complex Presentation Layouts"☆16Aug 28, 2018Updated 7 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.
- 機械学習プロフェッショナルシリーズ 深層学習による自然言語処理☆36Jun 15, 2023Updated 2 years ago
- A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays☆65Nov 20, 2025Updated 5 months ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Jun 20, 2017Updated 8 years ago
- Understanding the paper "Principles of Riemannian Geometry in Neural Networks" by Michael Hauser and Asok Ray☆11May 24, 2023Updated 2 years ago
- Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" http…☆63Apr 1, 2020Updated 6 years ago
- Automatic Differentiation for Gradient Boosted Decision Trees.☆13May 17, 2022Updated 3 years ago
- (ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"☆19Nov 21, 2022Updated 3 years ago
- Language Modeling with Sum-Product Networks☆20Jul 29, 2014Updated 11 years ago
- The implementation for the paper `Byte-Pair Encoding for Text-to-SQL Generation`.☆14Feb 26, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Neural Potential Field for Obstacle-Aware Local Motion Planning☆23Jun 2, 2024Updated last year
- ☆18Jul 25, 2014Updated 11 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Mar 30, 2021Updated 5 years ago
- Implementation for our TOIS paper --- Attentive Long Short-Term Preference Modeling for Personalized Product Search.☆19Feb 14, 2020Updated 6 years ago
- ☆14Feb 15, 2016Updated 10 years ago
- [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution☆38Jan 12, 2021Updated 5 years ago
- Materials for Deep Reinforcement Learning – ÚFAL course NPFL139☆15Updated this week