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AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Created
2017-02-25
243 commits to master branch, last one 8 days ago
Plain python implementations of basic machine learning algorithms
Created
2018-02-19
137 commits to master branch, last one 4 months ago
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Created
2017-04-26
109 commits to master branch, last one 4 years ago
A curated list of Best Artificial Intelligence Resources
Created
2019-12-26
124 commits to master branch, last one about a month ago
gesture recognition toolkit
Created
2014-01-03
897 commits to master branch, last one 5 years ago
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
Created
2016-06-23
266 commits to master branch, last one 2 years ago
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Created
2021-05-25
50 commits to main branch, last one about a year ago
文本聚类(Kmeans、DBSCAN、LDA、Single-pass)
Created
2018-11-15
16 commits to master branch, last one 3 years ago
The full collection of Jupyter Notebook labs from Andrew Ng's new Machine Learning Specialization.
Created
2022-08-11
5 commits to master branch, last one 2 years 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
Dynamically get the suggested clusters in the data for unsupervised learning.
Created
2016-04-25
135 commits to master branch, last one about a year ago
经典机器学习算法的极简实现
Created
2020-05-23
223 commits to master branch, last one 5 days ago
Absolute balanced kdtree for fast kNN search.
Created
2017-02-22
27 commits to master branch, last one about a year ago
golang package to find the K most dominant/prominent colors in an image
Created
2016-09-03
16 commits to master branch, last one 2 years ago
k-means clustering library and binary to find dominant colors in images
Created
2020-04-08
94 commits to master branch, last one about a year ago
Efficient similarity search and clustering for Ruby
Created
2020-03-08
139 commits to master branch, last one 10 days ago
Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.
Created
2020-03-22
136 commits to main branch, last one about a year ago
This research project will illustrate the use of machine learning and deep learning for predictive analysis in industry 4.0.
Created
2020-04-29
17 commits to master branch, last one 3 years ago
Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.
Created
2021-01-01
386 commits to main branch, last one 11 months ago
An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articl...
Created
2020-03-17
147 commits to master branch, last one 3 years ago
A CLI tool to find the dominant colours in an image 🎨
Created
2021-11-26
200 commits to main branch, last one 7 days ago
Easy-to-Use Apple Vision wrapper for text extraction, scalar representation and clustering using K-means.
Created
2023-10-20
9 commits to main branch, last one 9 months ago
K-Means clustering
Created
2015-06-18
88 commits to master branch, last one about a year ago
Dice.com repo to accompany the dice.com 'Vectors in Search' talk by Simon Hughes, from the Activate 2018 search conference, and the 'Searching with Vectors' talk from Haystack 2019 (US). Builds upon m...
Created
2018-10-12
31 commits to master branch, last one 5 years ago
Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering
Created
2016-09-12
141 commits to master branch, last one 5 months ago
Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.
Created
2019-06-18
42 commits to master branch, last one 3 years ago
Super fast simple k-means implementation for unidimiensional and multidimensional data.
Created
2017-06-05
91 commits to master branch, last one 4 years ago
🎨 Color palette generator from an image using WebAssesmbly and Rust
Created
2019-10-10
79 commits to master branch, last one 2 years ago
🏗 hCaptcha image label binary model factory (PyTorch Training, Cluster-based Auto Label Tools, Export ONNX model, ONNX model inference)
Created
2022-05-01
161 commits to main branch, last one about a year ago
A C++ implementation of simple k-means clustering algorithm.
Created
2018-06-18
28 commits to master branch, last one 3 years ago