16 results found Sort:

299
2.5k
apache-2.0
52
Structured state space sequence models
Created 2021-11-03
113 commits to main branch, last one 10 months ago
148
909
apache-2.0
32
Closed-form Continuous-time Neural Networks
Created 2021-01-09
30 commits to main branch, last one 2 years ago
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning...
Created 2020-06-17
131 commits to master branch, last one 3 years ago
BTK Akademi -1 Milyon İstihdam Projesi için Merve Ayyüce Kızrak tarafından Hazırlanmıştır.
Created 2020-07-28
108 commits to master branch, last one 4 years ago
Full named-entity (i.e., not tag/token) evaluation metrics based on SemEval’13
Created 2019-02-22
255 commits to main branch, last one about a month ago
Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.
Created 2018-11-09
17 commits to master branch, last one 3 years ago
My solutions to Quizzes and Programming Assignments of the specialization.
Created 2021-05-10
4 commits to main branch, last one 3 years ago
12
58
gpl-3.0
16
Structured Prediction Helps 3D Human Motion Modelling - ICCV '19
Created 2019-08-14
46 commits to master branch, last one about a year ago
AWS Last Mile Route Sequence Optimization
Created 2022-04-26
44 commits to main branch, last one 6 months ago
Code and pretrained models for the paper: "MatMamba: A Matryoshka State Space Model"
Created 2024-10-08
22 commits to main branch, last one about a month ago
This is all my notebooks, lab solutions, and assignments for the DeepLearning.AI Natural Language Processing Specialization on Coursera.
Created 2022-09-16
21 commits to main branch, last one 2 years ago
Contains all course modules, exercises and notes of Deep Learning Specialization by Andrew Ng, and DeepLearning.ai in Coursera
Created 2022-07-30
25 commits to main branch, last one about a year ago
Abstractive text summarization by fine-tuning seq2seq models.
Created 2021-01-24
15 commits to main branch, last one 3 years ago
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.
Created 2024-06-12
742 commits to main branch, last one 2 days ago