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ahmedbesbes / Neural-Network-from-scratch

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Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

python tutorial numpy neural-networks backpropagation decision-boundary loss batch-gradient-descent

Updated Dec 24, 2018
Jupyter Notebook

gyrdym / ml_algo

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Machine learning algorithms in Dart programming language

dart classifier data-science machine-learning algorithm linear-regression machine-learning-algorithms regression hyperparameters sgd logistic-regression softmax-regression dartlang stochastic-gradient-descent softmax lasso-regression batch-gradient-descent mini-batch-gradient-descent softmax-classifier softmax-algorithm

Updated May 15, 2021
Dart

Python machine learning applications in image processing and algorithm implementations including Matrix Completion, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

naive-bayes expectation-maximization support-vector-machine ridge-regression expectation-maximization-algorithm factor-analysis dbscan em-algorithm linear-discriminant-analysis stochastic-gradient-descent latent-semantic-analysis lasso-regression multinomial-naive-bayes singular-value-decomposition batch-gradient-descent sequential-minimal-optimization newton-method low-rank-approximation independent-component-analysis k-nearest-neighbors

Updated Jul 26, 2021
Jupyter Notebook

IvanBongiorni / TensorFlow2.0_Notebooks

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Implementation of a series of Neural Network architectures in TensorFow 2.0

python classifier data-science machine-learning deep-learning neural-network tensorflow lstm rnn autoencoder dimensionality-reduction tensorflow-tutorials python-3 convolutional-neural-networks rnn-tensorflow forecast-model batch-gradient-descent cnn-classifier autograph tensorflow2

Updated Apr 18, 2021
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harshraj11584 / Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder

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[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

adadelta momentum gradient-descent optimization-methods optimization-algorithms adam adagrad rmsprop gradient-descent-algorithm stochastic-optimizers stochastic-gradient-descent gradient-boosting adam-optimizer adamax stochastic-optimization batch-gradient-descent nesterov-accelerated-sgd amsgrad nesterov-momentum nadam

Updated Mar 23, 2019
Python

bhattbhavesh91 / gradient-descent-variants

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My implementation of Batch, Stochastic & Mini-Batch Gradient Descent Algorithm using Python

gradient-descent gradient-descent-algorithm stochastic-gradient-descent batch-gradient-descent mini-batch-gradient-descent gradient-descent-methods

Updated Oct 14, 2019
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prabhuvashwin / Credit-Card-Fraud-Detection

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Naive Bayes classifier and Logistic Regression classifier to predict whether a transaction is fraudulent or not

java transaction naive-bayes-classifier logistic-regression hadoop-mapreduce gaussian-distribution batch-gradient-descent

Updated Dec 9, 2017
Java

longtng / Stochastic-Gradient-Descent

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The laboratory from CLOUDS Course at EURECOM

python spark cloud-computing stochastic-gradient-descent batch-gradient-descent mini-batch-gradient-descent

Updated Feb 25, 2019
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NvsYashwanth / machinelearningmaster

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Open

Need content for first 4 topics

6

NvsYashwanth commented Sep 21, 2020

What is Machine learning?
Types of Machine Learning
Applications of Machine Learning
Machine Learning Life Cycle

Elisayiqin / Machine-Learning-Sec.2

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线性回归算法，close-form, batch 梯度下降，mini-batch 梯度下降，随机梯度下降，RMSE

linear-regression pycharm stochastic-gradient-descent batch-gradient-descent close-form

Updated Jan 26, 2021
Python

akshaykvnit / deep_learning_models

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Use of various deep learning models to classify flowers. Models are implemented from scratch in PyTorch using only tensor operations.

neural-network pytorch classification mini-batch batch-gradient-descent

Updated Dec 18, 2018
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kirushyk / le-board

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Debugging tool for Le Framework

machine-learning deep-neural-networks research deep-learning parameters optimization models ml momentum gradient-descent weights stochastic-gradient-descent batch-gradient-descent biases

Updated Jun 4, 2020
JavaScript

hademircii / Ham-Spam-Detector

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Detect Spam E-Mails

jupyter-notebook logistic-regression batch-gradient-descent

Updated Nov 27, 2017
Jupyter Notebook

cryptomanic / DeepLearningBasics

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Just exploring Deep Learning

word2vec linear-regression keras regularization l2-regularization rmsprop stochastic-gradient-descent adam-optimizer batch-gradient-descent mini-batch-gradient-descent softmax-classifier gradient-descent-momentum continuous-bag-of-words regularization-dropout inverted-dropout

Updated Jul 25, 2020
Jupyter Notebook

devonlee111 / Basic-Neural-Net

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A basic neural net built from scratch.

python deep-learning neural-network numpy python3 gradient-descent backpropagation feedforward stochastic-gradient-descent batch-gradient-descent mini-batch-gradient-descent

Updated Jun 6, 2018
Python

pwc2 / ridge-regression

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Implementation of linear regression with L2 regularization (ridge regression) using numpy.

machine-learning ridge-regression l2-regularization batch-gradient-descent

Updated Oct 28, 2019
Python

Vedant2311 / Machine-Learning-Algorithms

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Compilation of different ML algorithms implemented from scratch (and optimized extensively) for the courses COL774: Machine Learning (Spring 2020) & COL772: Natural Language Processing (Fall 2020)