My java implementation of scalable on-line stochastic gradient descent for regularized logistic regression
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Nov 22, 2016 - Java
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sgd
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Stagewise training accelerates convergence of testing error over sgd
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Mar 11, 2021 - Python
This repo is for the ML class Assignment 1 @ IIT Jodhpur Post Grad Sem 1.
neural-network tensorflow svm machine regression logistic sgd pca linear wrangling k-means-clustering halfspace
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Dec 1, 2020 - Jupyter Notebook
Implements the NNDL book's "network.py" code (Chapter 1) to improve its functionality and performance.
python neural-network sgd hyperparameter-optimization hyperparameter-tuning epoch back-propagation cross-entropy log-likelihood mini-batch-gradient-descent
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Jan 31, 2025 - Jupyter Notebook
R package implementing Gradient Descent and its variants for regression tasks
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Mar 9, 2017
Set-Get-Do commands allow you to configure the settings on printers. This app demos how to use SGD commands to get and set the configuration variables of the printer using the Zebra Link-OS SDK.
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Jul 11, 2018 - Java
My beautiful Neural Network made from scratch and love. It plays the game Flappy-Birds flawlessly, in 3 to 9 generations!!
machine-learning ai genetic-algorithm neuroevolution sgd neural-networks perceptron gradient-descent xor flappy-bird-game xavier-initializer activation-functions sigmoid-activation
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Aug 31, 2024 - Python
An python implementation of Support Vector Machine from Scratch
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Aug 1, 2020 - Python
A custom example of how the stochastic gradient descent algorithm works, applied to a linear regression model.
algorithm linear-regression artificial-intelligence sgd neural-networks logistic-regression gradient-descent
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Sep 24, 2023 - Jupyter Notebook
Statistical and Mathematical Methods (UniBo) - PCA, SVD, GD alg
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Dec 29, 2024 - Jupyter Notebook
Comparative study of User-Based Collaborative Filtering vs Matrix Factorization for recommendation systems. Performance analysis on MovieLens 100k dataset evaluating RMSE, training time, and prediction latency.
python data-science machine-learning jupyter-notebook ml collaborative-filtering matrix-factorization sgd recommendation-system performance-analysis algorithm-analysis movielens
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Jan 24, 2026 - Jupyter Notebook
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Feb 18, 2019 - Jupyter Notebook
Implementation of the algorithms described in the papers "ZO-AdaMM: Zeroth Order Adaptive Momentum" by Chen et al., "Stochastic first- and zeroth-order methods" by Ghadimi et al. and "SignSGD via zeroth- order oracle" by Liu et al.
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Jul 25, 2022 - Jupyter Notebook
NLP and Sentiment Analysis
sentiment-analysis naive-bayes sgd logistic-regression support-vector-classifier natual-language-processing
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Aug 15, 2019 - Python
Fake news detection on LIAR-PLUS dataset using traditional machine learning techniques and deep learning techniques. Used a normal LSTM network and also contextual attention (with justification) for deep learning techniques.
nlp machine-learning random-forest graphs svm machine-learning-algorithms regression pytorch sgd lstm-model accuracy attention-mechanism nlp-machine-learning torchtext contextual-attention
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Oct 31, 2020 - Python
Movie rating prediction using collaborative filtering - XGBoost, SVD, SVD++, KNNBaseline on the Netflix Prize dataset (~100M ratings). Includes EDA, feature engineering, model stacking, and a visual results report.
python machine-learning collaborative-filtering matrix-factorization sgd xgboost recommender-system feature-engineering svd knn netflix-prize scikit-surprise
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Mar 6, 2026 - Jupyter Notebook
Deep_Learning: Stochastic Gradient Noise heavy tail distribution Analysis
deep-learning mnist sgd stochastic alpha learning-rate gaussian-distribution levy gradient-noise alpha-stable-processes heavy-tailed stoch sgn
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Sep 7, 2020 - Python
Comparison of Gradient Based Optimization Methods
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Jul 16, 2022 - Jupyter Notebook
A lightweight, bare-metal Go implementation of Stochastic Gradient Descent (SGD) and the Adam optimizer. Built from the ground up with exactly one dependency. Includes a pure-Go MNIST example.
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Feb 24, 2026 - Go
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