Visualqa
Visual Question Answering project for ETHZ's 2016/17 Deep Learning class.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Mmf | 5,414 | 2 months ago | 145 | other | Python | |||||
| A modular framework for vision & language multimodal research from Facebook AI Research (FAIR) | ||||||||||
| Grad Cam | 652 | 7 years ago | 3 | Lua | ||||||
| [ICCV 2017] Torch code for Grad-CAM | ||||||||||
| Vqa.pytorch | 536 | 4 years ago | 19 | Python | ||||||
| Visual Question Answering in Pytorch | ||||||||||
| Neural Vqa | 486 | 8 years ago | 3 | Lua | ||||||
| :grey_question: Visual Question Answering in Torch | ||||||||||
| Omninet | 426 | 4 years ago | 1 | apache-2.0 | Python | |||||
| Official Pytorch implementation of "OmniNet: A unified architecture for multi-modal multi-task learning" | Authors: Subhojeet Pramanik, Priyanka Agrawal, Aman Hussain | ||||||||||
| Tbd Nets | 335 | 6 years ago | 2 | mit | Jupyter Notebook | |||||
| PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning" | ||||||||||
| Openvqa | 225 | 3 years ago | 1 | apache-2.0 | Python | |||||
| A lightweight, scalable, and general framework for visual question answering research | ||||||||||
| Vqa Mfb | 135 | 5 years ago | Python | |||||||
| Neural Vqa Attention | 81 | 7 years ago | 1 | Jupyter Notebook | ||||||
| :question: Attention-based Visual Question Answering in Torch | ||||||||||
| Dense Coattention Network | 81 | 5 years ago | 1 | mit | Python | |||||
| Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering | ||||||||||
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Vqa