yefan20112015

yefan20112015's Stars

• XavierWww/Chinese-Medical-Entity-Recognition

  Using BERT+Bi-LSTM+CRF

  Language:Python13428

• BrikerMan/Kashgari

  Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

  Language:Python2.4k441

• DSXiangLi/Paper_CausalInference_abtest

  因果推理&AB实验相关论文小书库

  21451

• yangheng95/PyABSA

  Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;

  Language:Jupyter Notebook952160

• yao8839836/text_gcn

  Graph Convolutional Networks for Text Classification. AAAI 2019

  Language:Python1.4k434

• dbiir/UER-py

  Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

  Language:Python3k526

• wvangansbeke/Self-Supervised-Learning-Overview

  📜 Self-Supervised Learning from Images: Up-to-date reading list.

  19625

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python135k27k

• huggingface/datasets

  🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

  Language:Python19.2k2.7k

• tensorflow/tensor2tensor

  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  Language:Python15.5k3.5k

• TeamStuQ/skill-map

  程序员技能图谱

  Language:HTML20k4.3k

• lyhue1991/eat_tensorflow2_in_30_days

  Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

  Language:Python10k2.5k

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook16k4.5k

• kelseyhightower/nocode

  The best way to write secure and reliable applications. Write nothing; deploy nowhere.

  Language:Dockerfile60.9k4.7k