Stars
R 语言数据科学导论 | Data Science Introduction with R
Latex code for making neural networks diagrams
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Baidu Bigflow is an interface that allows for writing distributed computing programs and provides lots of simple, flexible, powerful APIs. Using Bigflow, you can easily handle data of any scale. Bi…
Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
Mathematical derivation and pure Python code implementation of machine learning algorithms.
A library for writing React components that automatically manage subscriptions to data sources simply by accessing them
Python 中文数据结构和算法教程
A research protocol for deep graph matching.
Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard
🤗 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.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need
all kinds of text classification models and more with deep learning
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
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 ;)
PyTorch Tutorial for Deep Learning Researchers