jodie
by claws-lab
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
AI summary
Temporal network embedder
A PyTorch implementation of a representation learning framework for dynamic temporal networks
- stars
- 362
- forks
- 83
- watching
- 6
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
Temporal graph NN library
A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models
Temporal Network
A PyTorch implementation of Temporal Segment Networks (TSN) for action recognition and video understanding.
Temporal feature network architecture
Designs efficient architectures for modeling temporal features with deep learning networks
Relational Network Model
A PyTorch implementation of a neural network module for relational reasoning in computer vision tasks
Time-series model tester
An experimental framework for developing and testing deep learning models on time-series prediction tasks
Capsule network library
An implementation of a deep learning model for image classification using capsule networks with dynamic routing.
Reinforcement Learning framework
Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks
Future prediction model
An implementation of Deepmind's Visual Interaction Networks using PyTorch to predict future events in physical scenes.
Deep learning toolkit
A Python framework for building deep learning models with optimized encoding layers and batch normalization.
Word embedding model
A PyTorch implementation of the skip-gram model for learning word embeddings.
Machine translation model
A Pytorch implementation of a neural network model for machine translation
Graph Neural Network Model
A PyTorch implementation of a graph neural network model that learns personalized node representations
Spatiotemporal data processor
A comprehensive library for processing spatiotemporal data with PyTorch
Graph embedding algorithm
An implementation of a deep learning algorithm to generate node embeddings in graphs
Deep learning models
Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets.
Featured in 1 awesome list
Each link jumps to the spot where the list mentions jodie.
