Pinned Repositories
ai-roadmap
ApacheCN AI 路线图（知识树）
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
anchor
Code for "High-Precision Model-Agnostic Explanations" paper
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
autogbt-alt
An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Kaggle-Competition-Sberbank
Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market
Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
Python
All Algorithms implemented in Python
mdjabc's Repositories
mdjabc/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
mdjabc/Python
All Algorithms implemented in Python
mdjabc/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
mdjabc/anchor
Code for "High-Precision Model-Agnostic Explanations" paper
mdjabc/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
mdjabc/awesome-ensemble-learning
Ensemble learning related books, papers, videos, and toolboxes
mdjabc/awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
mdjabc/Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
mdjabc/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
mdjabc/ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
mdjabc/DeepLearning
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
mdjabc/deeplearning-models
A collection of various deep learning architectures, models, and tips
mdjabc/free-programming-books
:books: Freely available programming books
mdjabc/gkmexplain
Accompanying repository for GkmExplain paper
mdjabc/hctsa
Highly comparative time-series analysis code repository
mdjabc/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
mdjabc/IT_book
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）
mdjabc/leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
mdjabc/mli-resources
H2O.ai Machine Learning Interpretability Resources
mdjabc/pymoo
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMA-ES
mdjabc/pymrmr
Python3 binding to mRMR Feature Selection algorithm (currently not maintained)
mdjabc/pyod
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
mdjabc/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
mdjabc/scikit-learn
scikit-learn: machine learning in Python
mdjabc/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
mdjabc/seaborn
Statistical data visualization using matplotlib
mdjabc/shap
A unified approach to explain the output of any machine learning model.
mdjabc/Skater
Python Library for Model Interpretation/Explanations
mdjabc/taobaoVisitingVenues
双十一活动自动化地操作淘宝浏览店铺得喵币脚本 for Android
mdjabc/tpu
Reference models and tools for Cloud TPUs.