declare-lab
Deep Cognition and Language Research (DeCLaRe) Lab Joined Dec 2019 View on GitHub
- Stars
- 11,042
- across 80 public repos
- Rank
- #3,490
- of 94,827 organizations, top 4%
Repositories with 50+ stars
| Rank | Repository | Language | Stars |
|---|---|---|---|
| 44,677 | This repo contains implementation of different architectures for emotion recognition in conversations. | Python | 1,532 |
| 54,633 | A family of diffusion models for text-to-audio generation. | Python | 1,243 |
| 61,032 | MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation | Python | 1,099 |
| 71,523 | This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis. | OpenEdge ABL | 920 |
| 74,110 | [ICLR 2026] TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching | Jupyter Notebook | 885 |
| 114,889 | This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks. | Python | 551 |
| 117,420 | Reading list for Awesome Sentiment Analysis papers | 538 | |
| 169,715 | This repository contains code for extending the Stanford Alpaca synthetic instruction tuning to existing instruction-tuned models such as Flan-T5. | Python | 355 |
| 198,112 | MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis | Python | 297 |
| 205,882 | A comprehensive reading list for Emotion Recognition in Conversations | 284 | |
| 215,756 | The official repo of the paper: $delta$-mem: Efficient Online Memory for Large Language Models | Python | 269 |
| 250,476 | NORA: A Small Open-Sourced Generalist Vision Language Action Model for Embodied Tasks | Python | 225 |
| 270,331 | This repository contains the official implementation code of the paper Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis, accepted at... | Python | 205 |
| 284,304 | This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations. | Python | 193 |
| 309,783 | JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment | Python | 174 |
| 384,064 | This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot... | Python | 134 |
| 395,913 | This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study | Python | 129 |
| 403,460 | Context-Dependent Sentiment Analysis in User-Generated Videos | Python | 126 |
| 413,983 | This repository is maintained to release dataset and models for multimodal puzzle reasoning. | Python | 122 |
| 443,067 | Flacuna was developed by fine-tuning Vicuna on Flan-mini, a comprehensive instruction collection encompassing various tasks. Vicuna is already an excellent writing assistant, and the intention... | Python | 112 |
| 443,067 | Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment | Python | 112 |
| 449,446 | NORA-1.5: A Vision-Language-Action Model Trained using World Model- and Action-based Preference Rewards | Python | 110 |
| 550,027 | Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning | Python | 85 |
| 571,580 | This repo contains code to detect sarcasm from text in discussion forum using deep learning | Python | 81 |
| 577,175 | Official Repo for Error-Free Linear Attention is a Free Lunch: Exact Solution from Continuous-Time Dynamics | Python | 80 |
| 600,843 | Codes and datasets for the paper Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse | Python | 76 |
| 620,054 | This repository contains the implementation of the paper -- Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis | Python | 73 |
| 696,099 | The purpose of this repository is to introduce new dialogue-level commonsense inference datasets and tasks. We chose dialogues as the data source because dialogues are known to be complex and rich... | Python | 63 |
| 763,331 | Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks | Python | 56 |
| 797,173 | Domain Adaptation using External Knowledge for Sentiment Analysis | Python | 53 |
Among 94,827 organizations
10k–16k stars: 1,461 organizations, including declare-lab
Stars along the bottom, and organizations in each band on a log scale
Where the stars are
Languages
- Python 7.6k stars, 68% · 26 repos
- OpenEdge ABL 920 stars, 8% · 1 repo
- Jupyter Notebook 885 stars, 8% · 1 repo
When they were made
30 repos with 50+ stars, made between 2017 and 2026
Quick stats
- Next rank
- +1 star to reach #3,489
- Next milestone
- +23,952 stars to reach the top 1%
- Public repos
- 80, 30 with 50+ stars
- Popular repos
- 22 over 100 stars, 3 over 1k stars
- Top repo
- conv-emotion, #44,677 of all repos, 14% of stars
- Smaller repos
- 860 stars from repos under 50