batch-gradient-descent 开源项目推荐（50 个）

ahmedbesbes /Neural-Network-from-scratch

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

je-suis-tm /machine-learning

图像处理、推荐系统、矩阵补全、Netflix问题及算法实现中的Python机器学习应用，包括共聚类、Funk SVD、SVD++、非负矩阵分解、Koren邻域模型、Koren集成模型、Dawid-Skene、Platt-Burges、期望最大化、因子分析、ISTA、FISTA、ADMM、高斯混合模型、OPTICS、DBSCAN、随机森林、决策树、支持向量机、独立分量分析、潜在语义索引、主成分分析、奇异值分解、K个最近邻、K个均值、朴素贝叶斯混合模型、高斯判别分析、牛顿法、坐标下降、梯度下降、弹性净回归、脊回归、套索回归、最小二乘、逻辑回归、线性回归

gyrdym /ml_algo

Machine learning algorithms in Dart programming language

IvanBongiorni /TensorFlow2.0_Notebooks

Implementation of a series of Neural Network architectures in TensorFow 2.0

harshraj11584 /Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder

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

bhattbhavesh91 /gradient-descent-variants

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

tazriahelal /Gradient-Descent

Gradient Descent(From Scratch & With TensorFlow)

burhanahmed1 /TwitSpark

Advanced Twitter sentiment analysis pipeline using Apache Spark for distributed data processing, featuring TF-IDF–based feature engineering and stochastic gradient-descent classification for scalable, real-time sentiment insights.

NvsYashwanth /machinelearningmaster

All about machine learning

Vedant2311 /Machine-Learning-Algorithms

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)

Elisayiqin /Machine-Learning-Sec.2

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

longtng /Stochastic-Gradient-Descent

The laboratory from CLOUDS Course at EURECOM

rraghavkaushik /Optimizers

PyTorch Implementation of Optimizers for Deep Learning from scratch.

DeepraMazumder /Social-Network-Ads-Prediction-Analysis

A Machine Learning project to predict user interactions with social network ads using demographic data to optimize ad targeting

Yadnesh2404 /Gradient-Descent-from-Scratch-

Batch GD & Stochastic GD built from scratch using only NumPy — not to chase a high R² score, but to understand how a model actually learns. Gradients derived manually from MSE loss, weights updated step by step, convergence visualized live with animated charts.

prabhuvashwin /Credit-Card-Fraud-Detection

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

Abdelrahman13-coder /Optimization

This repository includes implementation of the basic optimization algorithms (Batch-Mini-stochatic)Gradient descents and NAG,Adagrad,RMSProp and Adam)

hager51 /Numerical-Optimization

Numerical Optimization for Machine Learning & Data Science

Sayed-Hossein-Hosseini /Mountaineers_in_Search_of_the_Global_Minimum

Two mountaineers search for the global minimum of a cost function using different approaches. One represents Stochastic Gradient Descent, taking small, random steps, while the other follows Batch Gradient Descent, making precise moves after full evaluation. This analogy illustrates key optimization strategies in machine learning.

tate8 /softmax-regression

Softmax Regression from scratch. MNIST dataset