Closed-form Continuous-time Neural Networks

Full named-entity (i.e., not tag/token) evaluation metrics based on SemEval’13

A Tensorflow based implicit recommender system

AWS Last Mile Route Sequence Optimization

CREsted is a Python package for training sequence-based deep learning models on scATAC-seq data, for capturing enhancer code and for designing cell type-specific sequences.

STCN: Stochastic Temporal Convolutional Networks

Code and pretrained models for the paper: "MatMamba: A Matryoshka State Space Model"

Structured Prediction Helps 3D Human Motion Modelling - ICCV '19

Abstractive text summarization by fine-tuning seq2seq models.

Official implementation of DenoMamba: A fused state-space model for low-dose CT denoising

Official implementation of MambaRoll: A Physics-Driven Autoregressive State Space Model for Medical Image Reconstruction (https://arxiv.org/abs/2412.09331)

Deep Recurrent Model for Individualized Prediction of Alzheimer’s Disease Progression - PyTorch Implementation (NeuroImage 2021)

Lyrics crawling, pre-processing, embedding generation, model training, and lyrics generation - all in one tool

CLEF: Controllable Sequence Editing for Biological and Clinical Trajectories

USE: Dynamic User Modeling with Stateful Sequence Models

French English Machine Translation. Natural language processing (NLP) transformer model from "Attention Is All You Need"

Play The Piano With Deep Learning 用深度学习弹钢琴 2019-5-22

Repository for the Paper: „On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series“

An out-of-the-box long-text NLP framework.

A dataset utils repository based on tf.data API.