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A collection of important graph embedding, classification and representation learning papers with implementations.
netlsd
deepwalk
node2vec
graph2vec
graph-kernel
graph-kernels
kernel-methods
node-embedding
graph-embedding
network-embedding
weisfeiler-lehman
deep-graph-kernels
attention-mechanism
graph-classification
structural-attention
graph-attention-model
classification-algorithm
graph-attention-networks
graph-convolutional-networks
graph-representation-learning
Created
2018-07-14
422 commits to master branch, last one about a year ago
This is a lootfilter for the game "Path of Exile". It hides low value items, uses a markup-scheme and sounds to highlight expensive gear and is based on economy data mining.
Created
2016-05-26
410 commits to master branch, last one 2 months ago
A curated list of gradient boosting research papers with implementations.
h2o
xgboost
adaboost
boosting
catboost
lightgbm
classifier
decision-tree
deep-learning
random-forest
machine-learning
gradient-boosting
xgboost-algorithm
classification-tree
classification-trees
gradient-boosted-trees
classification-algorithm
gradient-boosting-machine
gradient-boosting-classifier
gradient-boosting-decision-trees
Created
2019-05-11
206 commits to master branch, last one 8 months ago
A general classifier module to allow Bayesian and LSI classifications.
Created
2008-05-05
74 commits to master branch, last one 4 months ago
Fast Best-Subset Selection Library
r
python
scikit-learn
cox-regression
machine-learning
feature-selection
linear-regression
multitask-learning
ordinal-regression
poisson-regression
logistic-regression
polynomial-algorithm
best-subset-selection
high-dimensional-data
classification-algorithm
sure-independence-screening
principal-component-analysis
robust-principal-component-analysis
sparse-principal-component-analysis
Created
2020-12-20
2,762 commits to master branch, last one 2 months ago
:art: Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.
Created
2018-01-13
31 commits to master branch, last one 3 years ago
The official code repository supporting the book, Grokking Artificial Intelligence Algorithms
Created
2019-05-29
35 commits to master branch, last one 3 years ago
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
llm
python
big-data
regression
100daysofcode
deep-learning
generative-ai
hacktoberfest
classification
linear-algebra
100daysofmlcode
neural-networks
machine-learning
linear-regression
regression-models
polynomial-regression
artificial-intelligence
classification-algorithm
artificial-neural-networks
scikitlearn-machine-learning
Created
2020-01-11
452 commits to master branch, last one 6 months ago
DataCLUE: 数据为中心的NLP基准和工具包
Created
2021-09-11
81 commits to master branch, last one 2 years ago
Object classification with CIFAR-10 using transfer learning
cnn
tsne
keras
images
cnn-keras
cnn-model
classifier
keras-models
visualization
classification
tsne-algorithm
cnn-architecture
transfer-learning
keras-visualization
image-classification
keras-neural-networks
convolutional-networks
classification-algorithm
keras-classification-models
convolutional-neural-networks
Created
2017-04-23
10 commits to master branch, last one 7 years ago
Classifying the Blur and Clear Images
ann
python
neural-nets
clear-images
median-filter
softmax-layer
blur-detection
blurred-images
neural-network
backpropagation
computer-vision
neural-networks
grayscale-images
image-processing
machine-learning
laplace-smoothing
image-classification
classification-algorithm
artificial-neural-networks
stochastic-gradient-descent
Created
2017-07-11
62 commits to master branch, last one 4 years ago
:robot: Natural language processing with JavaScript
Created
2022-09-01
82 commits to main branch, last one 11 months ago
Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"
Created
2018-02-23
43 commits to master branch, last one 4 years ago
Data Visualization and Machine Learning with Iris Dataset.
Created
2017-08-02
14 commits to master branch, last one 4 years ago
Keras implementation for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
Created
2017-12-17
16 commits to master branch, last one 4 years ago
Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Ch...
Created
2021-09-20
93 commits to main branch, last one 2 years ago
This repository contains all the Lab and Assignments from Andrew NG Machine Learning Specialization Course on Coursera.
Created
2022-06-24
20 commits to main branch, last one 2 years ago
This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.
Created
2022-01-15
14 commits to master branch, last one 2 years ago
Cell type pipes for R
Created
2021-06-08
209 commits to main branch, last one 10 months ago
Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study a...
Created
2021-03-06
13 commits to main branch, last one 3 years ago
Depp Learning Tomato Leaf Disease Prediction project deployment using flask, Keras, TensorFlow, sklearn libraries.
Created
2020-10-27
15 commits to main branch, last one 4 years ago
Demo DVC project training a classification model on tabular data
Created
2022-03-14
35 commits to main branch, last one 6 months ago
A python implementation of the Multi-View Stacking algorithm
Created
2024-02-25
16 commits to main branch, last one 4 months ago
This repository has no description...
Created
2023-04-16
19 commits to main branch, last one about a year ago