Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in Towards Data Science: https://towardsdatascience.com/black-box-mo...
Comparing 17 types of encoding for categorical variables
#编辑器#🧙AutoDev: The AI-powered coding wizard(AI 驱动编程助手)with multilingual support 🌐, auto code generation 🏗️, and a helpful bug-slaying assistant 🐞! Customizable prompts 🎨 and a magic Auto Dev/Testing...
#博客#A plugin to integrate Tldraw into Obsidian.
Python implementations of the Boruta all-relevant feature selection method.
Arguably the best missing values imputation method.
#计算机科学#A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
Stanford NLP Python library for understanding and improving PyTorch models via interventions
The repo of Street View Image, Pose, and 3D Cities Dataset. Used in "Generic 3D Representation via Pose Estimation and Matching", ECCV16
Houses implementation of the Fast Correlation-Based Filter (FCBF) feature selection method.
#效率工具集合#以思想的速度编写代码 – Zed 是一款高性能、支持多人协作的代码编辑器,由 Atom 和 Tree-sitter 的创建者开发。
#计算机科学#The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.
3D Vision Transformer, in PyTorch
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)
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