Stars
YSDA course in Natural Language Processing
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Mathematical derivation and pure Python code implementation of machine learning algorithms.
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
all kinds of text classification models and more with deep learning
The fastai book, published as Jupyter Notebooks
公司名语料库。机构名语料库。公司简称,缩写,品牌词,企业名。可用于中文分词、机构名实体识别。
Distributed scikit-learn meta-estimators in PySpark
汉语自然语言处理视频教程-开源学习资料
All Algorithms implemented in Python
Implementation of BERT that could load official pre-trained models for feature extraction and prediction
kaldi-asr/kaldi is the official location of the Kaldi project.
Hands-On Automated Machine Learning, published by Packt
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
🥡 Git recipes in Chinese by Zhongyi Tong. 高质量的Git中文教程.
Notebooks for learning deep learning
An open source python library for automated feature engineering
《最优化导论》第1 2 3 4 5 6 7 8 9 10 11 13 20 21 22 23章LaTeX公式笔记
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)