There are 2D-Search and 3D-Graph-View for knowledge graph visualization.

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

YOLOv5 in TF2 > TFLite > ONNX > TensorRT

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

An open-source neural machine translation toolkit developed by Tsinghua Natural Language Processing Group

Natural Language Processing Tutorial for Deep Learning Researchers

Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).

Must-read papers on knowledge representation learning (KRL) / knowledge embedding (KE)

A Pytorch implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

ExpClaim fact checks claims passed as triples with interpretable explanations of its assessement

Code to reproduce results in "Finding Streams in Knowledge Graphs to Support Fact Checking"

Code to reproduce results in "Finding Streams in Knowledge Graphs to Support Fact Checking"

Studies on "Knowledge Graph Curation with Deep Learning and Semantic Reasoning"

Knowledge Graph Miner

Optimizing rotational speed for solar heating system via deep reinforcement learning