40 Open source projects that are alternatives of or similar to paccmann_kinase_binding_residues

Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.

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Machine learning, in numpy

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A collection of awesome scripts from developers around the globe.

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

simple tutorial on Machine Learning with Scikitlearn

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

经典机器学习算法的极简实现

Face recognition using facenet

A header-only C++ library for k nearest neighbor search with Eigen3.

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Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

A machine learning exercise, using KNN to classify deforested areas

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🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Python Clustering Algorithms

Official code for "Mean Shift for Self-Supervised Learning"

Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals

Mobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.

Machine Learning for Spot Prices

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

A document covering machine learning basics. 🤖📊

Automatic license plate recognition for Indonesian plate (White on black)

An Interactive Approach to Understanding Supervised Learning Algorithms

No description or website provided.

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

Animated Visualizations of Popular Machine Learning Algorithms

OCR Machine Learning in python

Building Annoy Index on Apache Spark

RxDock is a fork of rDock. Note: the latest code is under development. Please do git checkout patched-rdock after clone if you want patched rDock. [IMPORTANT NOTE: pull requests should be posted on GitLab, this is a read-only source code mirror]

Structural Bioinformatics Training Workshop & Hackathon 2018

Contact map analysis for biomolecules; based on MDTraj

No description or website provided.

Methods for the parallel and distributed analysis and mining of the Protein Data Bank using MMTF and Apache Spark.