317 Open source projects that are alternatives of or similar to perceptron

Implementations of machine learning algorithm by Python 3

Plain python implementations of basic machine learning algorithms

Cloud-native Financial Reinforcement Learning

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

The collaboration workspace for Machine Learning

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.

Intention Mining in Social Networking. It Mines Emotions and polarity for the given keyword . For the keyword it searchers the twitter for the comments and analyzes the results for various events such as Election results, Sports prediction Movie ratings, Breaking news events such as demonetisation and many more. Bayes , Maximum Entropy and Hidde…

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

Learn the theory, math and code behind different machine learning algorithms and techniques.

GreyCat - Data Analytics, Temporal data, What-if, Live machine learning

Basic Machine Learning implementation with python

A rehost of the python version of SPArse Modeling Software (SPAMS)

Parallel random matrix tools and complexity for deep learning

BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

Bidirectional Helmholtz Machines

Exploring sklearn 🌟

🍃 Using a Neural Network to recognize MNIST digets in JavaScript.

Python Clustering Algorithms

.pdf Format Books for Machine and Deep Learning

An open source library for the GPU-implementation of L-BFGS-B algorithm

Machine Learning algorithms coded from scratch

Model training, custom generative function and training for raplyrics.eu - A rap music lyrics generation project

Machine Learning Demonstrations: A graphical interface to draw data, apply a diverse array of machine learning tools to it, and directly see the results in a visual and understandable manner.

bitcoin prediction algorithms

EU funded Horizon 2020 project

My GitHub blog: things you might be interested, and probably not...

🤖 An authorial collection of fundamental python recipes on Machine Learning and Artificial Intelligence.

Perform Efficient ML/DL Modelling easily

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

A Neural Network experiment involving a JavaScript game.

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Library for Multi-objective optimization in Gradient Boosted Trees

ExCon: Explanation-driven Supervised Contrastive Learning

Pyspark in Google Colab: A simple machine learning (Linear Regression) model

Neural network library written in C and Javascript

Matlab library for gradient descent algorithms: Version 1.0.1

ugtm: a Python package for Generative Topographic Mapping

Soomvaar is the repo which 🏩 contains different collection of 👨‍💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

Python＆機械学習ライブラリ TensorFlow の使い方の練習コード集。特にニューラルネットワークを重点的に取り扱い。

Implemented a Convolutional Neural Network for end-to-end driving in a simulator using Tensorflow and Keras. The project involves training over 13,000 images in a unity3d simulator to steer the car successfully throughout the track

In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.

Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

Implementing Clustering Algorithms from scratch in MATLAB and Python

A Latent Dirichlet Allocation implementation in Python.

A list of popular deep learning models related to classification, segmentation and detection problems

Subjective answer evaluation using machine learning. Give your answers at this link ->

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

Age classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum

🔍 Character Recognition Using Single-layer Perceptron Neural Network.

No description or website provided.

🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

🏆 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.

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

Programmable Decision Tree Framework

This repository contains books from different topics and perfect enough to give developers a boost in understanding the concepts of Data Science and Artificial Intelligence(other topics are also included but main highlights are these two).