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annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Language:PythonMIT5296800

CogDL

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

Language:PythonMIT171000

planetoid

Semi-supervised learning with graph embeddings

Language:PythonMIT86600

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Language:PythonMIT286200

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Language:Jupyter Notebook112600

datasets-knowledge-embedding

📝 A collection of common datasets used in knowledge embedding

Language:ShellMIT14400

fancyss

fancyss is a project providing tools to across the GFW on asuswrt/merlin based router.

Language:ShellGPL-3.01218400

kge

LibKGE - A knowledge graph embedding library for reproducible research

Language:PythonMIT75700

Pref_Suff_Span_NN

Language:Python2200

KnowledgeGraphEmbedding

Language:PythonMIT123500

HyTE

EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding

Language:PythonApache-2.017300

tensorflow-socher-ntn

Reimplementation of "Reasoning With Neural Tensor Networks for Knowledge Base Completion" (Socher, Chen 2013) in Google's TensorFlow framework. MIT 6.806 Final Project. NOTE: Not maintained.

Language:Python14000