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Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
H2O.ai Machine Learning Interpretability Resources
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Welcome to Glacier Data Project. A post-wuhan2020 project for data science
2019新型冠状病毒疫情实时爬虫及API | COVID-19/2019-nCoV Realtime Infection Crawler and API
Create explorable explanations and interactive essays.
MTCNN face detection implementation for TensorFlow, as a PIP package.
A curated list of awesome computer vision resources
💫 Industrial-strength Natural Language Processing (NLP) in Python
microsoft / vscode-python
Forked from DonJayamanne/pythonVSCodePython extension for Visual Studio Code
A toolbox to iNNvestigate neural networks' predictions!
Lime: Explaining the predictions of any machine learning classifier
A game theoretic approach to explain the output of any machine learning model.
Open source API-compatible alternative to the text editor Sublime Text
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Library for fast text representation and classification.
Entity Linking in Queries: Tasks and Evaluation
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
An open source python library for automated feature engineering
List of Data Science Cheatsheets to rule the world