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Search results for perceptron
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278 search results found
Homemade Machine Learning
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21,542
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Statistical Learning Method_code
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10,396
手写实现李航《统计学习方法》书中全部算法
Synaptic
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6,697
architecture-free neural network library for node.js and the browser
Tfjs Examples
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6,354
Examples built with TensorFlow.js
Tensorflow Tutorials
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5,861
Simple tutorials using Google's TensorFlow Framework
Machine_learning_basics
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3,754
Plain python implementations of basic machine learning algorithms
Ipynb_playground
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1,530
Various ipython notebooks
Mlpneuralnet
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907
Fast multilayer perceptron neural network library for iOS and Mac OS X
Tensorflow_exercises
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559
The codes I made while I practiced various TensorFlow examples
Napkinml
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477
A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.
Nlptutorial
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380
A Tutorial about Programming for Natural Language Processing
Trident Ml
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380
Trident-ML : A realtime online machine learning library
Perceptron
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370
A flexible artificial neural network builder to analyse performance, and optimise the best model.
Thesemicolon
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312
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Fuku Ml
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278
Simple machine learning library / 簡單易用的機器學習套件
Keras Tutorials
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251
Simple tutorials using Keras Framework
Deep Learning From Scratch
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250
Six snippets of code that made deep learning what it is today.
Machinelearning
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233
《统计学习方法》相关的机器学习实现代码。Machine Learning.
Andrew Ng Machine Learning Notes
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222
The offical notes of Andrew Ng Machine Learning in Stanford University
Nn_vis
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221
An interactive visualization of neural networks
Lihang_algorithms
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219
用python和sklearn两种方法实现李航《统计学习方法》中的算法
Php Ml
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206
PHP Machine Learning library
Ipythontheanotutorials
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197
Mlp Classifier
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194
A handwritten multilayer perceptron classifer using numpy.
Np_ml
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179
A tool library of classical machine learning algorithms with only numpy.
Go Perceptron Go
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156
A single / multi layer / recurrent neural network written in Golang.
Ml
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153
经典机器学习算法的极简实现
Ml Recipes
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152
A collection of stand-alone Python machine learning recipes
Pytorch
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145
Deep Learning Zero to All - Pytorch
Deep_learning_notes
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123
a collection of my notes on deep learning
Choicenet
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122
Implementation of ChoiceNet
Deeplearning
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120
Deep Learning From Scratch
Textblob Aptagger
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100
*Deprecated* A fast and accurate part-of-speech tagger for TextBlob.
Machine Learning 2014
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99
機械学習分科会 for TSG2014 winter
Neural Networks
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93
Artificial Neural Networks / Python
Synaptic
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91
Neural Networks in Clojure
Deep_learning_explorations
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89
Codes and experiments while learning and exploring deep learning by personal curiosity and online courses
Emel
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87
A simple and functional machine learning library for the Erlang ecosystem
Micromlp
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81
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
Mlweb
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81
Machine learning and scientific computing (linear algebra, statistics, optimization) javascript libraries, with an online lab.
Neuralnetworks
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80
Multi-layer Perceptron
Machinelearninglab
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80
Some experiments about Machine Learning
Machinelearningwithpython
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79
Get started with Machine Learning with Python - An introduction with Python programming examples
Perceptron
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76
Using Java Swing to implement single layer perceptron neural network.
Machine Learning Portfolio
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67
Machine learning portfolio
Grasp
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66
Essential NLP & ML, short & fast pure Python code
Mlp
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60
Multilayer Perceptron Keras wrapper for sklearn
Perceptron Benchmark
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60
Robustness benchmark for DNN models.
Homemade Machine Learning Cn
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60
自制机器学习
Perceptroncobol
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59
A perceptron written in COBOL
Pytorch Scholarship Challenge Notes
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55
My notes on PyTorch Scholarship Challenge [Phase 1] 2018/2019
Hermes
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55
A speculative mechanism to accelerate long-latency off-chip load requests by removing on-chip cache access latency from their critical path, as described by MICRO 2022 paper by Bera et al. (https://arxiv.org/pdf/2209.00188.pdf)
Speakerdiarization_rnn_cnn_lstm
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52
Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).
Libol
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51
Library for Online Learning algorithms
Artificialintelligenceengines
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48
Computer code collated for use with Artificial Intelligence Engines book by JV Stone
Cl Online Learning
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46
A collection of machine learning algorithms for online linear classification written in Common Lisp
Multilayer Perceptron
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46
Library to make and train a concurrent multilayer perceptron
Perceptron
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43
The simplest Perceptron you'll ever see
Node Ml
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42
A Collection of Machine Learning algorithms built for use with NodeJS
Awesome Embodied Ai
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41
A curated list of awesome papers on Embodied AI and related research/industry-driven resources.
Ml Simple Works
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40
Pico Cnn
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40
Lightweight C implementation of CNNs for Embedded Systems
Athnlp Labs
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38
Athens NLP Summer School Labs
Sipintar
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37
Indonesian Chatbot built by Multi Layer Perceptron(Neural Network)
Pydecode
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37
A dynamic programming toolkit.
Scalable Deeplearning
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36
Scalable implementation of artificial neural networks for Spark deep learning
Mlp Neural Network From Scratch
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36
Tutorial detailing how to build a multilayer perceptron from scratch
Matlab Mnist Two Layer Perceptron
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36
A two layer perceptron implemented in MatLab to recognize handwritten digits based on the MNIST dataset.
Cperceptron
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35
A neural network (Simple Perceptron) implemented in PHP.
Metadoc
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34
Aviation grade news article metadata extraction
Iris Python
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34
Collection of iris classifcation program for teaching purpose
Cargameperceptron
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33
A Neural Network experiment involving a JavaScript game.
Catseye
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33
Neural network library written in C and Javascript
Neurona
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32
Artificial Neural Networks for Arduino
Handwritten Digits Classification Using Knn Multiclass_perceptron Svm
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32
🏆 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.
Arabic Tagger
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31
AQMAR Arabic Tagger: Sequence tagger with cost-augmented structured perceptron training
Python Neuron
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30
Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons
Perceptron
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30
a perceptron
Spiking Mlp
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30
A Spiking Multi-Layer Perceptron
Mlcert
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30
Certified Machine Learning
Fastai2 Tabular Baselines
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30
A few baselines with a standard tabular model
Geometric Vector Perceptron
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29
Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pytorch. Idea proposed and accepted at ICLR 2021
Machine_learning
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29
The homework of my 3rd-term
Varis
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29
Golang Neural Network
Nnet
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29
A small collection of neural network algorithms in Go (no longer maintained)
Machinelearning_exercises_python_tensorflow
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28
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。
Rosenblattperceptronjs
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28
Training of a Perceptron in the Browser with Vue.js & SVG.
Zeta Learn
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27
zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
Xor
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27
xor activation
Distillation
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26
Keras + tensorflow experiments with knowledge distillation on EMNIST dataset
Arduino_perceptron
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26
Un perceptrón programado para aprendiaje mecánico en Arduino
Scala Neural Network
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25
An implementation of a multi-layer perceptron in Scala
Bagger
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25
Project Shows how the Single Neuron Perceptron can be used to solve two outcome problems.
Blogcode
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25
Sample code from my blog posts on Medium and my personal website.
Chromiumify
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25
A command line client for the chromiumify libraries
Mlp Example
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24
Code for a simple MLP (Multi-Layer Perceptron)
Real Time Digit Classifier
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24
Deep Learning and Computer Vision based Summer Project for the year 2019.
Deep Learning In R Using Keras And Tensorflow
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24
Implementing Deep learning in R using Keras and Tensorflow packages for R and implementing a Multi layer perceptron Model on MNIST dataset and doing Digit Recognition
Numpy_neural_net
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24
A simple neural network (multilayer perceptron) with backpropagation implemented in Python with NumPy
Tensorbag
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24
Collection of tensorflow notebooks tutorials for implementing the most important Deep Learning algorithms.
1-100 of 278 search results
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