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ApacheCN AI 路线图(知识树)
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Code for "High-Precision Model-Agnostic Explanations" paper
Anomaly detection related books, papers, videos, and toolboxes
An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
Ensemble learning related books, papers, videos, and toolboxes
A curated list of awesome machine learning interpretability resources.
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
A topic-centric list of HQ open datasets. PR ☛☛☛
A curated list of awesome Python frameworks, libraries, software and resources
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Code and Example for Bayesian Optimization for LightGBM
Python code for bayesian optimization using Gaussian processes
DBN (deep belief network) implementation for breast cancer detection
BLS Code
Gradient Boosting with CatBoost.
show tree struct of catboost model by graphviz
Classification model including XGBoost, GBDT, RandomForest, lightGBM, stacking model...
I use CatBoost to predict which Amazon employees should get access to certain data and use SHAP to visualise and explain why a certain employee was rejected or granted access.
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Visualizing VGG16 Convolutional Neural Network using Keras
Code for paper "How transferable are features in deep neural networks?"
数据挖掘的相关案例和demo
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Note Winner.
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
A collection of various deep learning architectures, models, and tips
The deeplearning algorithms implemented by tensorflow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.