Closed-form Continuous-time Neural Networks
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Updated
Jul 5, 2024 - Python
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
STCN: Stochastic Temporal Convolutional Networks
Structured Prediction Helps 3D Human Motion Modelling - ICCV '19
AWS Last Mile Route Sequence Optimization
Code and pretrained models for the paper: "MatMamba: A Matryoshka State Space Model"
Abstractive text summarization by fine-tuning seq2seq models.
Official implementation of DenoMamba: A fused state-space model for low-dose CT denoising
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
Repository for the Paper: „On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series“
A dataset utils repository based on tf.data API.
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
Sentiment analysis for amazon product reviews using NLTK, Scikit-Learn, and Keras. Using hyperparameter search and LSTM, our best model achieves ~96% accuracy.
Sequence modelling applied to event collisions
USE: Dynamic User Modeling with Stateful Sequence Models
Simple implementations of long-range sequence models (LRU, S5, S4, and more).
Jax/Flax/Linen implementation of "Simple Hardware-Efficient Long Convolutions for Sequence Modeling"
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