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Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合
Graph Learning with Generative Pretrained Transformers
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
A curated list of awesome self-supervised methods
[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
GraphLLM: Boosting Graph Reasoning Ability of Large Language Model
中文nlp解决方案(大模型、数据、模型、训练、推理)
Making large AI models cheaper, faster and more accessible
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommen…
Log TensorBoard events without touching TensorFlow
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Datasets, Transforms and Models specific to Computer Vision
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
An Open Source Machine Learning Framework for Everyone