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Implementation of Stein Variational Gradient Descent with TensorFlow 2.0

A Z Machine Learning ⭐ 5

This repository contains the code related to machine learning knowledge. Each code has been provided from start to end with systematical vew of each concept that you will need in your journey of learning ML.

Dpsgd Optimizer ⭐ 5

Amortized version of the differentially private SGD algorithm published in "Deep Learning with Differential Privacy" by Abadi et al. Enforces privacy by clipping and sanitising the gradients with Gaussian noise during training.

Gradient Descent ⭐ 5

A research project on enhancing gradient optimization methods

Gradient Descent Optimization ⭐ 5

a python script of a function summarize some popular methods about gradient descent

Bayesian Gradient Descent Algorithm Model for TensorFlow

Supervised Snn With Gd ⭐ 5

A supervised learning algorithm of SNN is proposed by using spike sequences with complex spatio-temporal information. We explore an error back-propagation method of SNN based on gradient descent. The chain rule proved mathematically that it is sufficient to update the SNN’s synaptic weights by directly using an optimizer. Utilizing the TensorFlow framework, a bilayer supervised learning SNN is constructed from scratch. We take the lead in the application of SAR image classification and conduct

A Python package for content-based audio retrieval with text queries.

Exercise Breast Cancer ⭐ 5

Python feed-forward neural network to predict breast cancer. Trained using stochastic gradient descent in combination with backpropagation.

Logistic Regression Sgd Mapreduce ⭐ 5

A Python implementation of binary regularized logistic regression with stochastic gradient descent, packaged as scripts for use with Hadoop streaming

Distributed Matrix Factorization ⭐ 5

A Machine Learning project: Matrix Factorization Distributed Stochastic Gradient Descent in pySpark

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