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🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Graph Neural Network Library for PyTorch
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
100+ Chinese Word Vectors 上百种预训练中文词向量
Keras implementations of Generative Adversarial Networks.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
keras implement of transformers for humans
Uplift modeling and causal inference with machine learning algorithms
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.
Tensorflow implementation of DeepFM for CTR prediction.
Pre-trained Chinese ELECTRA（中文ELECTRA预训练模型）
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
DeepTables: Deep-learning Toolkit for Tabular data
Word2vec, Fasttext, Glove, Elmo, Bert, Flair pre-train Word Embedding
A deep learning framework for symbolic optimization.