genandlam / multi-modal-depression-detectionLinks
Official codebase for "Context Aware Deep Learning for Multi Modal Depression Detection" [ICASSP 2019, Oral]
☆11Updated 10 months ago
Alternatives and similar repositories for multi-modal-depression-detection
Users that are interested in multi-modal-depression-detection are comparing it to the libraries listed below
Sorting:
- Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …☆16Updated 4 years ago
- [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning☆15Updated last year
- [NeurIPS 2023] Factorized Contrastive Learning: Going Beyond Multi-view Redundancy☆73Updated last year
- ☆23Updated 4 years ago
- ☆28Updated 2 years ago
- Implementation of Tranception, an attention network, paired with retrieval, that is SOTA for protein fitness prediction☆32Updated 3 years ago
- Implementation of Denoising Diffusion for protein design, but using the new Equiformer (successor to SE3 Transformers) with some addition…☆56Updated 2 years ago
- ☆12Updated 2 years ago
- ☆17Updated 2 years ago
- Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.☆41Updated last year
- [NeurIPS 2023] Riemannian Residual Neural Networks (https://arxiv.org/abs/2006.10254)☆22Updated last year
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆67Updated 2 years ago
- Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules☆58Updated 4 years ago
- ☆19Updated 3 years ago
- Embedding graphs in symmetric spaces☆30Updated 4 years ago
- Official repository for Cell Attention Networks☆14Updated last year
- [ECAI 2023] Official implementation of "FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recogniti…☆12Updated 2 years ago
- Path integral based convolution and pooling☆30Updated 2 years ago
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Updated last year
- ☆39Updated 2 years ago
- Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]☆23Updated last year
- Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…☆75Updated 4 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆83Updated last year
- Official implementation of FOP method as described in "Fusion and Orthogonal Projection for Improved Face-Voice Association"☆19Updated last year
- ☆11Updated last year
- ☆38Updated 5 years ago
- Graph neural network message passing reframed as a Transformer with local attention☆70Updated 2 years ago
- ☆15Updated last year
- An implementation of (Induced) Set Attention Block, from the Set Transformers paper☆65Updated 2 years ago
- Deep Networks Grok All the Time and Here is Why☆37Updated last year