Code repository for On the interaction between supervision and self-play in emergent communication (ICLR 2020)
☆15Feb 4, 2020Updated 6 years ago
Alternatives and similar repositories for s2p
Users that are interested in s2p are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of the paper 'Compositional language emerge in a neural iterated learning' (ICLR 2020).☆16Oct 14, 2021Updated 4 years ago
- Emergent Communication of Generalizations, NeurIPS 2021☆13Sep 29, 2021Updated 4 years ago
- ☆39Jul 30, 2024Updated last year
- This framework provides out-of-the-box implementations of Referential Games variants in order to study the emergence of artificial langua…☆22Dec 2, 2025Updated 2 months ago
- [NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergen…☆13Oct 7, 2022Updated 3 years ago
- Reproducing the reinforcement learning models used in "Emergence of Linguistic Communication from Referential Games with Symbolic and Pix…☆12Jun 23, 2018Updated 7 years ago
- On the pitfalls of measuring emergent communication☆34Mar 12, 2019Updated 6 years ago
- Reproduce ICLR2018 submission "Emergent Communication through Negotiation"☆17Apr 19, 2018Updated 7 years ago
- Code and data for "Inferring Rewards from Language in Context" [ACL 2022].☆16May 22, 2022Updated 3 years ago
- Measuring compositionality in representation learning☆73May 5, 2019Updated 6 years ago
- ☆21Nov 11, 2024Updated last year
- Compositional Obverter Communication Learning From Raw Visual Input - Pytorch Implementation☆19Jul 8, 2021Updated 4 years ago
- Code for the paper, "Learning Human Objectives by Evaluating Hypothetical Behavior"☆84Dec 13, 2019Updated 6 years ago
- ☆57May 5, 2018Updated 7 years ago
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆21May 28, 2022Updated 3 years ago
- Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)☆20Oct 25, 2021Updated 4 years ago
- Learning with latent language☆51Mar 28, 2021Updated 4 years ago
- [EMNLP 2017] Code for "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog"☆95May 5, 2020Updated 5 years ago
- PAC-Bayes with Backprop - Tighter risk certificates for neural networks☆24Jul 9, 2021Updated 4 years ago
- EGG: Emergence of lanGuage in Games☆317May 6, 2025Updated 9 months ago
- 🎓 GSU MPA/MPP course on program evaluation and causal inference☆24May 10, 2020Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Jun 28, 2019Updated 6 years ago
- Compositional generalization through meta sequence-to-sequence learning☆83Jan 7, 2020Updated 6 years ago
- Make musical loops in the browser using WaveGAN, GANSynth, and MusicVAE☆36Nov 17, 2022Updated 3 years ago
- ☆25Jun 30, 2022Updated 3 years ago
- Based on Neural Amp Modeler 0.7.1 with some enhanced features☆12Apr 18, 2023Updated 2 years ago
- AI Generated Tees☆39Mar 18, 2020Updated 5 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆32Oct 18, 2019Updated 6 years ago
- code examples of a the SDKv6.0 DFU bootloader modified to be built by gcc.☆10Jan 8, 2025Updated last year
- ☆12Dec 14, 2021Updated 4 years ago
- Calculations of dipole axis, dipole poles, and dipole tilt angle☆10Oct 28, 2024Updated last year
- AGS Fast Wave Function Collapse Plugin☆15Jun 23, 2020Updated 5 years ago
- Variational Autoencoder with Spatial Broadcast Decoder☆35Jul 12, 2019Updated 6 years ago
- [AAAI 2021 Workshop] The official repository for the LST-MAP model for few-shot image classification.☆13Feb 12, 2021Updated 5 years ago
- A Cython library to solve the Bittensor registration POW on CUDA☆15Aug 15, 2025Updated 6 months ago
- 🦞 A curated list of Molt ecosystem services, platforms, and tools for AI agents — Moltbook, MoltCities, Molthunt, MoltMatch, and more.☆26Updated this week
- Solutions to assignments in course- "Bitcoin and Cryptocurrency Technologies", offered by coursera, Princeton University☆11Jun 28, 2018Updated 7 years ago
- This project focuses on using deep learning to replace text in images while retaining the same font and style.☆10Dec 9, 2019Updated 6 years ago
- Code release for Learning with Opponent-Learning Awareness and variations.☆151Apr 13, 2023Updated 2 years ago