All Algorithms implemented in Python
- python
- algorithm
- algorithms-implemented
- algorithm-competitions
Repository Index
47,133 repositories indexed
1–24 of 43 · Most stars
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
- machine-learning
- deep-learning
- deep-reinforcement-learning
- machine-learning-from-scratch
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
- python
- algorithm
- data-structure
- development
Python sample codes and textbook for robotics algorithms.
Minimal examples of data structures and algorithms in Python
- algorithm
- python
- competitive-programming
- data-structure
Translated50 code implementations of data structures and algorithms that you must know
Best Practices on Recommendation Systems
- machine-learning
- recommender
- ranking
- deep-learning
TranslatedHand-written implementations of all the algorithms in Li Hang's book "Statistical Learning Methods" (《统计学习方法》)
- machine-learning-algorithms
- code
- statistical-learning-method
Minimal and clean examples of machine learning algorithms implementations
- machine-learning
- deep-learning
- neural-networks
- machine-learning-algorithms
Open Machine Learning Course
Translated:zap: Machine Learning in Action (Python3): kNN, decision tree, Bayes, logistic regression, SVM, linear regression, tree regression
- adaboost
- logistic
- svm
- smo
A curated list of practical financial machine learning tools and applications.
A collection of important graph embedding, classification and representation learning papers with implementations.
- graph2vec
- classification-algorithm
- graph-kernels
- weisfeiler-lehman
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
- ai
- fairness-ai
- fairness
- fairness-testing
Algorithms for explaining machine learning models
- machine-learning
- explanations
- interpretability
- counterfactual
A curated list of gradient boosting research papers with implementations.
- gradient-boosting
- gradient-boosting-classifier
- gradient-boosting-machine
- gradient-boosted-trees
🧠+🎧 Build your music algorithms and AI models with the next-gen DAW 🔥
Implementation of some deep learning algorithms.
Evaluation functions for music/audio information retrieval/signal processing algorithms.
A curated list of Monte Carlo tree search papers with implementations.
- tree-search
- learning
- machine-learning
- deep-learning
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
- python
- machine-learning
- random-forest
- tensorflow
A Free and Open Source Python Library for Multiobjective Optimization
- optimization
- multiobjective
- evolutionary
- algorithm
Graph Algorithms
🎯 A comprehensive gradient-free optimization framework written in Python
- metaheuristics
- optimization
- optimization-algorithms
- python