59 Open source projects that are alternatives of or similar to graphkit-learn

A collection of important graph embedding, classification and representation learning papers with implementations.

A CUDA implementation of the Tsetlin Machine based on bitwise operators

Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules

Tools to analyze cycling data

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

👁️ An authorial set of fundamental Python recipes on Computer Vision and Digital Image Processing.

organic chemistry reaction prediction using NMT with Attention

NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.

Pytorch Implementation of Semantic-Aware Scene Recognition Paper

A Docker-based, cloudable platform for the development of chemoinformatics-centric web applications and microservices.

A Parallel Graphlet Decomposition Library for Large Graphs

Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

A machine learning program that is able to recognize patterns inside Forex or stock data

NeurIPS 2018. Linear-time model comparison tests.

A Rust utility DSL and macro to help construct and modify Paths.

A filesystem toolset and storage implementation for Clojure.

Hierarchical Graph Analysis

Build an array of key paths from an object.

Simple and expressive file management in Swift

Return true if a value is a valid glob pattern string, or array of glob patterns.

一个拍照做题程序。输入一张包含数学计算题的图片，输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Python wrapper for TA-Lib (http://ta-lib.org/).

Simple and comprehensive tutorials in TensorFlow

Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets

Open-source and modular toolbox for quantitative soundscape analysis in Python

Extended Complexity Library in R

Online feature-extraction and classification algorithm that learns representations of input patterns.

The main abnormal behaviors that this project can detect are: Violence, covering camera, Choking, lying down, Running, Motion in restricted areas. It provides much flexibility by allowing users to choose the abnormal behaviors they want to be detected and keeps track of every abnormal event to be reviewed. We used three methods to detect abnorma…

A GPU-accelerated real-time face recognition system based on classical machine learning algorithms

Visualizing and Analyzing Metabolic Networks with Reaction Pattern Recognition

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

VF3 Algorithm - The fastest algorithm to solve subgraph isomorphism on large and dense graphs

Matlab code for the paper "A survey of orthogonal moments for image representation: Theory, implementation, and evaluation"

The most powerful and customizable binary pattern scanner

CROHME dataset extractor for OFFLINE-text-recognition task.

Booklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.

Calculates the best possible answer for multiple-choice questions using techniques to maximize accuracy without any other outside resources or knowledge.

A list of papers and datasets about natural/color image segmentation (processing)

A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.

This is the page for the book Digital Signal Processing with Kernel Methods.

A Matlab benchmarking toolbox for kernel adaptive filtering

Kernel k Nearest Neighbors in R

FRP: Fast Random Projections

Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.

UAI 2015. Kernel-based just-in-time learning for expectation propagation

Introduction to Applied Mathematics and Informatics in Drug Discovery (AMIDD)

CReM: chemically reasonable mutations framework

pytoda - PaccMann PyTorch Dataset Classes. Read the docs: https://paccmann.github.io/paccmann_datasets/

Chemoinformatics tool for ligand-based virtual screening

Chemoinformatics toolkit with support for inorganic molecules

MolEnc: a molecular encoder using rdkit and OCaml.

Web Interface for ChEMBL @ EMBL-EBI

Convert an xyz file into a molecular graph and create a 3D visualisation of the graph.

The Biochemical Algorithms Library

A Chemical Knowledge Graph of What is Common in the World.

Python for chemoinformatics

Deriving Neural Architectures from Sequence and Graph Kernels

This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".