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A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tas...
Created
2016-08-05
3,618 commits to master branch, last one 2 days ago
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
Created
2017-07-18
48,929 commits to master branch, last one a day ago
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Created
2013-02-22
15,502 commits to master branch, last one 18 hours ago
Python code for common Machine Learning Algorithms
Created
2017-05-26
211 commits to master branch, last one 2 years ago
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
mooc
python
coursera
andrew-ng
solutions
tensorflow
deep-learning
decision-trees
neural-network
machine-learning
linear-regression
coursera-assignment
logistic-regression
recommendation-system
unsupervised-learning
coursera-specialization
andrew-ng-machine-learning
supervised-machine-learning
unsupervised-machine-learning
Created
2022-06-16
145 commits to main branch, last one 2 months ago
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Created
2017-07-17
502 commits to master branch, last one 2 years ago
A python library for decision tree visualization and model interpretation.
Created
2018-08-13
621 commits to master branch, last one 3 months ago
Text Classification Algorithms: A Survey
deep-learning
random-forest
decision-trees
text-processing
rocchio-algorithm
boosting-algorithms
deep-belief-network
deep-neural-network
logistic-regression
text-classification
k-nearest-neighbours
nlp-machine-learning
naive-bayes-classifier
document-classification
support-vector-machines
dimensionality-reduction
conditional-random-fields
recurrent-neural-networks
convolutional-neural-networks
hierarchical-attention-networks
Created
2018-07-06
230 commits to master branch, last one 2 months ago
For extensive instructor led learning
Created
2018-09-15
155 commits to master branch, last one 2 years ago
General Assembly's 2015 Data Science course in Washington, DC
Created
2015-08-07
119 commits to master branch, last one 8 years ago
A curated list of Best Artificial Intelligence Resources
Created
2019-12-26
124 commits to master branch, last one 2 months ago
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Created
2021-04-22
625 commits to main branch, last one about a month ago
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Created
2020-03-20
830 commits to master branch, last one 3 years ago
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Created
2021-04-22
1,025 commits to main branch, last one 9 days ago
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical ...
Created
2019-03-06
404 commits to master branch, last one about a month ago
Visualize decision trees in Python
Created
2024-07-24
117 commits to main branch, last one about a month ago
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
Created
2018-09-15
149 commits to master branch, last one about a year ago
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Created
2020-04-02
130 commits to master branch, last one about a year ago
Machine learning for C# .Net
Created
2017-02-14
615 commits to master branch, last one 8 months ago
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
Created
2016-06-08
484 commits to master branch, last one 2 years ago
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
Created
2021-04-27
292 commits to master branch, last one 17 days ago
A python library to build Model Trees with Linear Models at the leaves.
Created
2021-03-27
30 commits to main branch, last one 2 years ago
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Created
2018-06-25
55 commits to master branch, last one about a year ago
Simple machine learning library / 簡單易用的機器學習套件
Created
2016-01-15
235 commits to master branch, last one 6 years ago
Machine Learning University: Decision Trees and Ensemble Methods
Created
2020-12-18
21 commits to main branch, last one about a year ago
Rubi for Mathematica
Created
2018-05-30
99 commits to master branch, last one 10 months ago
2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments
Created
2021-12-24
127 commits to main branch, last one about a year ago
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
knn
kmeans
python
adaboost
regression
naive-bayes
decision-trees
neural-network
machine-learning
feature-selection
linear-regression
logistic-regression
polynomial-regression
multilinear-regression
redes-neurais-artificiais
machine-learning-algorithms
linear-discriminant-analysis
principal-component-analysis
Created
2017-05-17
69 commits to master branch, last one 2 years ago
R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)
Created
2018-04-06
590 commits to master branch, last one 15 days ago
This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.
data-science
random-forest
tutor-milaan9
decision-trees
error-functions
machine-learning
fitting-algorithm
matlab4datascience
python4datascience
frequentist-methods
dynamic-time-warping
gaussian-naive-bayes
naive-bayes-classifier
machine-learning-matlab
machine-learning-python
value-iteration-algorithm
machine-learning-algorithms
singular-value-decomposition
Created
2020-09-09
93 commits to master branch, last one 2 years ago