☆63Apr 19, 2021Updated 4 years ago
Alternatives and similar repositories for ShapeWorld
Users that are interested in ShapeWorld are comparing it to the libraries listed below
Sorting:
- Emergent Communication of Generalizations, NeurIPS 2021☆13Sep 29, 2021Updated 4 years ago
- Learning with latent language☆51Mar 28, 2021Updated 4 years ago
- EGG: Emergence of lanGuage in Games☆317May 6, 2025Updated 9 months ago
- Python module that gives current information about orbital objects of interest☆12Dec 23, 2022Updated 3 years ago
- A Python implementation of a graph-based parser for Abstract Meaning Representation (AMR)☆11Feb 2, 2018Updated 8 years ago
- Code and data for "A fine-grained comparison of pragmatic language understanding in humans and language models"☆11Dec 14, 2022Updated 3 years ago
- Everything you need to know about CNN in PyTorch☆11Nov 12, 2018Updated 7 years ago
- Pragmatic models for generating and following instructions☆13Dec 22, 2019Updated 6 years ago
- Edit and Generate Anything in 3D world!☆14Apr 15, 2023Updated 2 years ago
- Scalable learning with pragmatics☆11Mar 31, 2018Updated 7 years ago
- ☆13Jun 3, 2019Updated 6 years ago
- ☆19May 9, 2019Updated 6 years ago
- Pytorch implementation of the MAC-Network☆12Jan 13, 2022Updated 4 years ago
- This repository contains C++ code to export the video segmentations from the system described in the paper Efficient Hierarchical Graph-B…☆13Aug 5, 2015Updated 10 years ago
- code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585☆14Aug 27, 2015Updated 10 years ago
- Models and Codes for the paper Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions☆14Aug 6, 2018Updated 7 years ago
- Progressive Multigrid Eigensolver for Multiscale Angular Embedding Problems☆17Oct 21, 2016Updated 9 years ago
- Shaping Visual Representations with Language for Few-shot Classification, ACL 2020☆16May 9, 2021Updated 4 years ago
- Code for the 2-simplicial Transformer paper☆21Jan 16, 2020Updated 6 years ago
- Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization"(https://arxiv.org/abs/1705.04304)☆18Aug 15, 2017Updated 8 years ago
- Pytorch implementation of paper "Distillation Techniques for Pseudo-rehearsal Based Incremental Learning"☆14Dec 15, 2018Updated 7 years ago
- A utility for testing and building software modules☆14May 29, 2024Updated last year
- Measuring compositionality in representation learning☆73May 5, 2019Updated 6 years ago
- Compositional Obverter Communication Learning From Raw Visual Input - Pytorch Implementation☆19Jul 8, 2021Updated 4 years ago
- ☆24Sep 13, 2018Updated 7 years ago
- some tutorials for blog: simonjisu.github.io☆23Mar 25, 2021Updated 4 years ago
- TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).☆42Oct 29, 2017Updated 8 years ago
- Training a deep-learning classifier for aerial top view detection of vehicles.☆22Oct 4, 2023Updated 2 years ago
- NP DRAW paper released code☆20Mar 18, 2022Updated 3 years ago
- ☆57May 5, 2018Updated 7 years ago
- Simple experiment of Apex (A PyTorch Extension)☆47Sep 5, 2019Updated 6 years ago
- ☆23Nov 24, 2018Updated 7 years ago
- 💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017☆23May 15, 2017Updated 8 years ago
- Code for the paper "Representation Learning for Grounded Spatial Reasoning"☆52Jul 2, 2020Updated 5 years ago
- VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation☆23Aug 1, 2017Updated 8 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆96Aug 21, 2018Updated 7 years ago
- My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)☆27Jan 1, 2018Updated 8 years ago
- Capsule research with our trivial contribution☆53Aug 14, 2018Updated 7 years ago
- A curated list of papers exploring the limits of deep learning for NLP☆24Mar 20, 2018Updated 7 years ago