Topic: "tree-lstm"
dasguptar/treelstm.pytorch
Tree LSTM implementation in PyTorch
Language: Python - Size: 49.8 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 547 - Forks: 140
epfl-lara/treenet
Recursive Neural Networks for PyTorch
Language: Python - Size: 38.1 KB - Last synced at: 29 days ago - Pushed at: over 5 years ago - Stars: 31 - Forks: 7
yizhongw/TagNN-PDTB
Tag-enhanced Tree-Structured NN for discourse relation classification.
Language: Python - Size: 56.6 KB - Last synced at: 2 months ago - Pushed at: over 7 years ago - Stars: 23 - Forks: 9
JetBrains-Research/embeddings-for-trees
Set of PyTorch modules for developing and evaluating different algorithms for embedding trees.
Language: Python - Size: 733 KB - Last synced at: 27 days ago - Pushed at: over 3 years ago - Stars: 22 - Forks: 4
ForoughA/recursiveMemNet
Tree Stack Memory Units
Language: Python - Size: 19 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 16 - Forks: 2
tomekkorbak/treehopper
A Tree-LSTM-based dependency tree sentiment labeler
Language: Python - Size: 141 KB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 15 - Forks: 3
epfl-lara/nugget
Neural-Network Guided Expression Transformation
Language: Python - Size: 49.8 KB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 13 - Forks: 0
sdrabb/argumentation_mining_models
This repository provides all the models that we use to solve the Context Independent Claim Detection Argumentation Mining sub-task.
Language: Python - Size: 52.7 KB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 6 - Forks: 1
surbhardwaj/THANOS-Tree-Augmented-Hierarchical-Attention-Network-with-Operator-Reduce-Parsing-
THANOS is a modification in HAN (Hierarchical Attention Network) architecture. Here we use Tree LSTM to obtain the embeddings for each sentence.
Language: Jupyter Notebook - Size: 11.7 MB - Last synced at: 25 days ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 1
Kitsunp/kistmath-ai
Kistmat-AI is an advanced machine learning model designed to solve a wide range of mathematical problems, from elementary arithmetic to university-level calculus. This project demonstrates the application of curriculum learning in AI, allowing the model to progressively tackle more complex mathematical concepts.
Language: Python - Size: 1.34 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0
zarzouram/RE_Extraction_tree_and_Seq_LSTM 📦
An reimplementation of Makoto Miwa and Mohit Bansa. End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures. http://dx.doi.org/10.18653/v1/P16-1105)
Language: Jupyter Notebook - Size: 88 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
abhinav-neil/sentiment-analysis-bow-lstm
Sentiment analysis using neural BoW and LSTM based models
Language: Jupyter Notebook - Size: 502 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
zeeeyang/lexicalized_bitreelstm
Head-Lexicalized Bidirectional Tree LSTMs
Language: C++ - Size: 4.53 MB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 0 - Forks: 0
