Code to reproduce the results for Compositional Attention
☆59Nov 16, 2022Updated 3 years ago
Alternatives and similar repositories for Compositional-Attention
Users that are interested in Compositional-Attention are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Source Code & Datasets for "Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data"☆12May 20, 2022Updated 3 years ago
- Source Code & Datasets for "FBL: Feature-Balanced Loss for Long-Tailed Visual Recognition"☆13Sep 3, 2022Updated 3 years ago
- Implementation of paper "Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval"☆17Jan 10, 2022Updated 4 years ago
- ☆37Nov 20, 2021Updated 4 years ago
- This repository collects public benchmark datasets for Time Series Forecasting (TSF).☆58Jul 23, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆60Jun 2, 2022Updated 3 years ago
- Papers, codes , and framewroks that used in Recommender System to solve code-start challenge problem.☆25Aug 17, 2021Updated 4 years ago
- Code for Paper: CFKG: Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation (KBE4ER)☆53Feb 24, 2021Updated 5 years ago
- ☆34Apr 19, 2024Updated 2 years ago
- Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…☆51May 10, 2022Updated 3 years ago
- Implementation for the PHM paper at ICLR'21☆13Mar 1, 2023Updated 3 years ago
- Code accompanying the paper "A contrastive rule for meta-learning"☆13Oct 31, 2024Updated last year
- A machine learning library capable of training various deep neural networks (RNNs, LSTMs, DBNs, ect...) on a GPU. It makes use of auto-di…☆10Aug 28, 2018Updated 7 years ago
- A collection of various deep learning architectures, models, and tips☆63Jun 28, 2020Updated 5 years 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.
- KANs and MLPs☆12Jun 7, 2024Updated last year
- Our code will be public soon .☆27Mar 20, 2023Updated 3 years ago
- Variance Covariance Regularization☆14Jun 22, 2023Updated 2 years ago
- MATCH-TUNING☆15Aug 6, 2022Updated 3 years ago
- TD-VAE in PyTorch☆10May 28, 2019Updated 6 years ago
- ☆15Feb 23, 2023Updated 3 years ago
- Tree Variational Autoencoders pytorch implementation☆38Jan 12, 2026Updated 3 months ago
- Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch☆76Dec 4, 2022Updated 3 years ago
- Pytorch version of DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization (NAACL 2021)☆17Jan 12, 2023Updated 3 years 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.
- ☆30Jan 17, 2022Updated 4 years ago
- PyTorch implementation for "Discovery of Incremental Skills" (DISk) algorithm from ICLR 2022 paper "One After Another: Learning Increment…☆20Mar 22, 2022Updated 4 years ago
- [ NeurIPS '22 ] Data distillation for recommender systems. Shows equivalent performance with 2-3 orders less data.☆23Jun 8, 2023Updated 2 years ago
- Reward Propagation using Graph Convolutional Networks☆13Jun 19, 2021Updated 4 years ago
- Implementation of a Transformer that Ponders, using the scheme from the PonderNet paper☆81Oct 30, 2021Updated 4 years ago
- HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation [ACL 2023]☆14Jul 11, 2023Updated 2 years ago
- Suite of 500 procedurally-generated NLP tasks to study language model adaptability☆21Jul 16, 2022Updated 3 years ago
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆68Jan 10, 2023Updated 3 years ago
- Computing calibrated prediction intervals for neural network regressors☆10May 28, 2019Updated 6 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.
- The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…☆46Oct 3, 2023Updated 2 years ago
- [ACL 2021] Learning Relation Alignment for Calibrated Cross-modal Retrieval☆34May 16, 2023Updated 2 years ago
- Supervised Contrastive Learning for Downstream Optimized Sequence Representations☆26Nov 9, 2021Updated 4 years ago
- Code for our AAAI2021 paper: Token-Aware Virtual Adversarial Training For Language Understanding.☆25Dec 3, 2020Updated 5 years ago
- Code for "World Model as a Graph: Learning Latent Landmarks for Planning" (ICML 2021 Long Presentation)☆69Jul 17, 2021Updated 4 years ago
- PERM GaussianKG☆10Nov 24, 2021Updated 4 years ago
- A PyTorch implementation of Proxy Anchor Loss based on CVPR 2020 paper "Proxy Anchor Loss for Deep Metric Learning"☆11Jan 16, 2021Updated 5 years ago