robertforce's repositories
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电子图书
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Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
Language:Python000
cpython
The Python programming language
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gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
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house
有完整版的PDF下载。
Language:JavaApache-2.0000
llama
Inference code for LLaMA models
Language:PythonNOASSERTION000
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Language:PythonApache-2.0000
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