GitHub topics: gradient-descent
vicky999jeevi/AI-Code-Explainer-Optimizer
🧩 Optimize and explain code effortlessly with our AI-driven multi-agent system, using LangGraph and Gemini for efficient solutions.
Language: Python - Size: 7.02 MB - Last synced at: about 12 hours ago - Pushed at: about 14 hours ago - Stars: 0 - Forks: 0
Emilinya/OmegaOptimizer
The ultimate parameter optimizer (non-linear regression program)
Language: Rust - Size: 847 KB - Last synced at: about 16 hours ago - Pushed at: about 18 hours ago - Stars: 0 - Forks: 0
Voto205/House-Price-Predictor
🏠 Predict house prices accurately using machine learning with this advanced model based on the Kaggle dataset for precise, data-driven insights.
Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: about 16 hours ago - Pushed at: about 18 hours ago - Stars: 0 - Forks: 0
khteh/pAIthon
Python AI, ML, DL and NLP exploration playground.
Language: Python - Size: 1.48 GB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0
aryyyy01/minimind
🧠 Simplify your machine learning workflow with MiniMind, a collection of lightweight tools designed for efficient model training and deployment.
Language: Python - Size: 26.7 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0
Serhii2009/ml_fundamentals_challenge
A comprehensive 30-day structured learning journey from ML fundamentals to advanced deep learning architectures with hands-on Python implementations and clear explanations
Language: Python - Size: 269 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 4 - Forks: 0
cvanaret/Uno
A highly customizable SQP & barrier solver for nonlinearly constrained optimization
Language: C++ - Size: 49.9 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 388 - Forks: 33
SepAbs/Backtracking-Gradient-Method-from-Scratch
Implemented backtracking gradient descent for nonlinear optimization with adjustable constants.
Language: Python - Size: 2.93 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0
ostad-ai/Machine-Learning
This repository contains topics and codes related to Machine Learning and Data Science, especially in Python
Language: Jupyter Notebook - Size: 5.49 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 17 - Forks: 4
magnitopic/dslr
Data Science and Logistic Regression
Language: Jupyter Notebook - Size: 33.3 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0
rojaAchary/30-Days-of-ML-Kaggle
Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.
Language: Jupyter Notebook - Size: 34.7 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 206 - Forks: 62
pravinkumarelangovan/ml-from-scratch
🔍 Explore machine learning by building algorithms from scratch in Python, comparing results with existing libraries, and enhancing your understanding.
Language: Jupyter Notebook - Size: 2.27 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 1
gligli/VinylScan
Play audio from a vinyl record scanned using a flatbed scanner (>= 2400 DPI)
Language: C++ - Size: 194 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 10 - Forks: 0
iraikov/nanograd
Minimalistic automatic differentiation framework in Scheme
Language: Tree-sitter Query - Size: 76.2 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
Shubham91999/SML_Regression-Classification
Implementation and visualization of core Machine Learning algorithms — Linear Regression, Gradient Descent, and Logistic Regression
Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
foolnotion/lbfgs
Modern C++ port of the Limited-memory BFGS (L-BFGS) optimization algorithm
Language: C++ - Size: 45.9 KB - Last synced at: 2 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0
mehmoodulhaq570/ML-Models
A repository consisting of implementation of all machine learning models.
Language: Jupyter Notebook - Size: 30.5 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 5 - Forks: 0
HosungKim48/demand-prediction
Forecasting demand to support dynamic pricing using PCA and neural networks (Keras)
Language: Jupyter Notebook - Size: 3.59 MB - Last synced at: about 7 hours ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0
Vladyslaa/SimpleNeuralNetwork
A fully hand-coded neural network in standart C++
Language: C++ - Size: 7.81 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
ashbix23/Numpy-Native-Regression-Toolkit
Algorithmic implementation of Multivariate Linear Regression built entirely with NumPy, featuring Ridge (L2) Regularization and Early Stopping via Batch Gradient Descent. Includes a robust preprocessing pipeline, comprehensive evaluation metrics, and performance benchmarking against Scikit-learn on the California Housing dataset.
Language: Jupyter Notebook - Size: 704 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 1
inikishev/torchzero
Modular optimization library for PyTorch (work-in-progress).
Language: Python - Size: 129 MB - Last synced at: 7 days ago - Pushed at: 16 days ago - Stars: 11 - Forks: 0
thomaswsu/Stochastic-Gradient-Boosting-and-Adaboost
In this repository we evaluate the performance of Stochastic Boosting and Traditional Boosting methods in two ways. The first is through evaluating the amount of data needed for each method to effectively generalize the classification problem. The second is effect of increasing the complexity of Weak Learner. How does a Weak Learner perform as it becomes for complex? Is it still able to generalize the classification problem in the same number of epochs?
Language: Jupyter Notebook - Size: 72 MB - Last synced at: 8 days ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0
gorgonia/gorgonia
Gorgonia is a library that helps facilitate machine learning in Go.
Language: Go - Size: 88.7 MB - Last synced at: 10 days ago - Pushed at: about 1 year ago - Stars: 5,865 - Forks: 452
kraigochieng/gradient-descent-visualiser
A web app visualing the gradient descent visualisation process
Language: Vue - Size: 436 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0
google/neural-tangents 📦
Fast and Easy Infinite Neural Networks in Python
Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 2,358 - Forks: 235
gkrusta/Multilayer-Perceptron
Multilayer Perceptron implementation using feedforward, backpropagation, and gradient descent from scratch.
Language: Python - Size: 1.73 MB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0
morchidy/mnist-neural-network
A from-scratch neural network implementation for MNIST handwritten digit recognition using stochastic gradient descent and backpropagation
Language: Python - Size: 267 KB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0
RubixML/Sentiment
An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
Language: PHP - Size: 34 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 115 - Forks: 14
Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization
Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.
Language: Jupyter Notebook - Size: 82.9 MB - Last synced at: 21 days ago - Pushed at: over 2 years ago - Stars: 712 - Forks: 309
krishnakumarsekar/awesome-machine-learning-deep-learning-mathematics
A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning
Size: 6.84 KB - Last synced at: 11 days ago - Pushed at: about 8 years ago - Stars: 223 - Forks: 64
seohyun-hwang/recurrent-neural-network
PROJECT STILL IN PROGRESS! Artificial Neural Network in the C programming language; employs the ReLU and Softmax activation-functions. Does not rely on tools like Scikit-learn.
Language: C - Size: 42 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0
VivekMbhatt/My-ML-Journey
In this repository I am learning ML through Python. The book being used is ML using Python by Manaranjan Pradhan, U Dinesh Kumar. The Df used is all given by the Book.
Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0
cedecj042/housing-price
A personal project to apply learnings in linear regression.
Language: Jupyter Notebook - Size: 203 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0
Koukyosyumei/Gymbo
gradient-based symbolic execution engine implemented from scratch
Language: C++ - Size: 10.1 MB - Last synced at: 24 days ago - Pushed at: almost 2 years ago - Stars: 34 - Forks: 0
doccstat/fastcpd
Fast Change Point Detection in R
Language: C++ - Size: 101 MB - Last synced at: 11 days ago - Pushed at: 3 months ago - Stars: 25 - Forks: 1
lhutt-42/dslr
Implementation of a logistic regression model for classification tasks, as part of the 42 School dslr project.
Language: Python - Size: 4.74 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
lhutt-42/ft_linear_regression 📦
Implementation of a simple linear regression model, as part of the 42 School ft_linear_regression project.
Language: Python - Size: 1.32 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
tugbakablan/NN-DL-CourseraLearning
Completed the Neural Networks and Deep Learning course by DeepLearning.AI (Andrew Yan-Tak Ng) with practical implementations. This repository includes some of my learning steps and applied exercises.
Language: Jupyter Notebook - Size: 517 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
eedduuy/TFG
Final Degree Project for the Computer Science and Mathematics degree at the University of Granada. Graded with a 10.0 (Honors).
Language: Jupyter Notebook - Size: 34.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
caydenrgarrett/Neural-Nets
A neural network from scratch in Python using NumPy, trained on the MNIST dataset. Includes data preprocessing, forward propagation, backpropagation, gradient descent, and evaluation with customizable architectures and activation functions.
Language: Jupyter Notebook - Size: 134 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
tjromack/interactive-ml-from-scratch
Learn machine learning by building linear regression from scratch with interactive visualizations
Size: 2.18 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
Sergio0694/NeuralNetwork.NET
A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN
Language: C# - Size: 13.1 MB - Last synced at: 29 days ago - Pushed at: almost 3 years ago - Stars: 560 - Forks: 90
kvignesh1420/single-index-ht
[TMLR] From Spikes to Heavy Tails: Unveiling the Spectral Evolution of Neural Networks
Language: Python - Size: 105 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0
raveriss/ft_linear_regression
Implémentation d’un algorithme de machine learning : régression linéaire avec descente de gradient. Le projet prédit le prix d’une voiture selon son kilométrage, avec entraînement (θ0, θ1) sauvegardé en JSON, prédiction en CLI, visualisation, tests, CI/CD et outils qualité.
Language: Python - Size: 2.08 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
nickbrazeau/discent
Gradient descent for estimating inbreeding spatial coefficients from pairwise-IBD estimates
Language: C++ - Size: 22 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0
haroontrailblazer/Machine_Learning
About This Repository A curated resource hub for learning machine learning, featuring tutorials, code examples, datasets, and hands-on projects to build foundational skills and explore real-world applications.
Language: Jupyter Notebook - Size: 874 KB - Last synced at: 7 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
RohanSardar/gradient_descent_from_scratch
Implementation and visualization of gradient descent using pure python without any ML library
Language: Python - Size: 2.93 KB - Last synced at: 26 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
just-krivi/real-estate-market-analysis
Streamlit web app using custom ML models (multiple linear regression and one-to-many multiclass kernel SVM) for predicting real estate prices; Scraping and analyzing real estate listings in Serbia
Language: Jupyter Notebook - Size: 3.54 MB - Last synced at: 29 days ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 5
DrIanGregory/MachineLearning-MultiLinearRegressionWithGradientDescent
Demonstrating solving multilinear regression using gradient descent optimisation.
Language: Python - Size: 522 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
miozilla/fescarefine
fescarefine :skier::mount_fuji::guide_dog: : Refine & Test ML Models # Features Scaling # Normalization # Datasets
Language: Jupyter Notebook - Size: 2.32 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
18520339/nn-auto-differentiation-engine
C++ version of Andrej Karpathy's micrograd with a lot more training components
Language: C++ - Size: 197 KB - Last synced at: 28 days ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
Ruu21/ml_fundamentals_challenge
📚 Master machine learning and deep learning concepts in 30 days with hands-on Python implementations and clear explanations for all skill levels.
Language: Python - Size: 18.6 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Rak256/Neural-Network-
Documentation of me building a Neural Network from scratch
Language: Jupyter Notebook - Size: 453 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
dhanraj-parigi/AI-Driven-Smart-Crop-Water-Allocation-System-using-Predictive-Analytics
💧 AI-Driven Smart Crop Water Allocation System 🌱 A Machine Learning project that predicts optimal water allocation for crops using rainfall, soil moisture, and crop type. Built with Python, Scikit-learn, and Streamlit, featuring data preprocessing, ML model training, and an interactive web app for real-time predictions.
Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
mlicamele/neural-network
Project focused on exploring the computations behind neural networks by building one from scratch with only numpy and testing it with the MNIST dataset.
Language: Jupyter Notebook - Size: 19.5 MB - Last synced at: 24 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Brokttv/optimizers-from-scratch
Implementations of deep learning optimizers using NumPy. Featuring SGD, Adam, Adagrad, NAG, RMSProp, and Momentum. This repo also includes a benchmark against Pytorch developed optims.
Language: Jupyter Notebook - Size: 236 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 1
ooSvn/Non-linearProgramming_Course_HomeWorks
Implementation of several methods of
Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Hemanthsp999/NeuralNet-C
NeuralNet-C: Dive deep into AI with nothing but C and your brain.
Language: C - Size: 68.4 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
DanielMPMatCom/Detecting-Interactions.-JCE-MatCom
Research on the interactions of a chorus of Eleutherodactylus eileenae. Modeling the biological system using the Ising Model to infer interaction parameters with Gradient Descent.
Language: TeX - Size: 7.06 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
farukalpay/PSD
Perturbed Saddle-escape Descent (PSD): a first-order optimizer that escapes strict saddle points in nonconvex problems.
Language: Python - Size: 242 KB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
hahnec/torchimize
numerical optimization in pytorch
Language: Python - Size: 20.4 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 139 - Forks: 6
SemihKanUM/GolfAproximationCrazzyPutting
An AI-powered bot that finds the optimal launch angle and velocity to sink a ball in one shot across complex terrains. Implements both a custom Manhattan optimization algorithm and the Newton–Raphson method, achieving results in milliseconds.
Language: Java - Size: 3.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
alecpippas/Machine-Learning-Portfolio
Portfolio of Jupyter Notebooks demonstrating various ML models/concepts learned and developed during my graduate machine learning course and independently post-grad. Generally, a bottom-up modeling approach with Numpy is used to showcase grasp of mathematical foundation. Higher-level libraries (scikit-learn) used for optimized algo implementations.
Language: Jupyter Notebook - Size: 5.51 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
daugaard/linear-regression
Linear regression implemented in Ruby.
Language: Ruby - Size: 71.3 KB - Last synced at: 2 days ago - Pushed at: 11 months ago - Stars: 54 - Forks: 7
DubiousCactus/minigauss
A numpy-only Gaussian Process optimisation mini library built for education purposes.
Language: Python - Size: 662 KB - Last synced at: 20 days ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0
ArshiaMozafari/gradient-descent-implementation
A lightweight Python implementation of batch gradient descent for linear regression, designed for research and visualization purposes. This project allows you to train a linear model from scratch, track the evolution of weights and loss, and visualize convergence.
Language: Jupyter Notebook - Size: 89.8 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
MuhammadSayyadkhan/Machine_Learning
This repository provides a comprehensive machine learning course with theoretical concepts and practical implementations
Language: Jupyter Notebook - Size: 2.16 MB - Last synced at: 26 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
perseus784/BvS
An Image classifier to identify whether the given image is Batman or Superman using a CNN with high accuracy. (From getting images from google to saving our trained model for reuse.)
Language: Python - Size: 24.2 MB - Last synced at: 25 days ago - Pushed at: almost 6 years ago - Stars: 52 - Forks: 21
JRC-ISIA/ml-optimized-orthogonal-basis-1d-pp
Experimental Python code developed for research on: H. Waclawek and S. Huber, “Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation,” in Learning and Intelligent Optimization, Cham: Springer Nature Switzerland, 2025, pp. 427–441.
Language: Python - Size: 6.65 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0
clay-arras/lamppp
lamp++💡 fast and lightweight machine learning framework in cpp, supporting tensors and autograd. includes implementations of basic neural networks
Language: C++ - Size: 1.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0
mynameflacko/ml-models
Hands-on implementations of common machine learning models for learning purposes.
Language: Jupyter Notebook - Size: 176 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
PolicyEngine/survey-enhance 📦
A Python package to improve the accuracy of weighted survey data by calibration and extension.
Language: Python - Size: 7.58 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 2
palle-k/DL4S
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
Language: Swift - Size: 19.5 MB - Last synced at: 12 days ago - Pushed at: almost 2 years ago - Stars: 110 - Forks: 13
s-marton/GRANDE
(ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
Language: Jupyter Notebook - Size: 9.75 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 93 - Forks: 10
ViktorAJStein/Accelerated_Stein_Variational_Gradient_Flows
Accelerated Stein Variational Gradient Descent for sampling for densities
Language: Python - Size: 3.26 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
mstksg/backprop
Heterogeneous automatic differentiation ("backpropagation") in Haskell
Language: Haskell - Size: 11.1 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 191 - Forks: 22
Philippe-Guerrier/Philippe-Guerrier.github.io
Github Portfolio [Philippe Guerrier]
Language: JavaScript - Size: 2.37 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
panoskoutris/numerical-optimization-algorithms
Implementation of numerical optimization algorithms in MATLAB, including derivative-free and gradient-based methods for unconstrained problems, and projection techniques for constrained optimization.
Language: MATLAB - Size: 1.33 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
KEYAGO/Gradient-Descent-Solver
This repository is created for anyone interested in studying and practising the Gradient Descent Algorithm in Python. There are benchmark functions and stopping criterias embedded in it.
Language: Python - Size: 3.91 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
breandan/kotlingrad
🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
Language: Kotlin - Size: 288 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 539 - Forks: 22
Skilledgamer101/gradient-descent
Code visualizing 3 different types of gradient descent (full batch, stochastic, mini batch). Used for training ML models.
Language: Python - Size: 49.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
stdlib-js/ml-incr-binary-classification
Incrementally perform binary classification using stochastic gradient descent (SGD).
Language: JavaScript - Size: 3.23 MB - Last synced at: 5 days ago - Pushed at: 3 months ago - Stars: 6 - Forks: 0
asfasfasfasdf/Co-Reward
Self-supervised reinforcement learning for LLM reasoning using contrastive agreement. Explore Co-Reward on GitHub! 🐙
Language: Python - Size: 8.46 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
kalafus/MachineLearningCurves
MachineLearningCurves is a collection of abstract papers, insights, and research notes focusing on various topics in machine learning.
Size: 2.06 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
francescopiocirillo/bayesian-map-vs-logistic-regression
Binary classification project in Python comparing a MAP classifier (with known distributions) vs. logistic regression. Includes analytical posterior derivation, Monte Carlo simulation, and gradient-based training. Focus on error probability, variance impact, and model performance.
Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
OmidGhadami95/ALS_vs_GradientDescent
Matrix Factorization (ALS vs Gradient Descent)
Language: Jupyter Notebook - Size: 1.44 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
IEEE-FCIH-SB/Machine-Learning-Content-2025
Here is the content of ML committe in season 2025
Language: Jupyter Notebook - Size: 79 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 6 - Forks: 1
Shivam-Shukl/Understanding_Gradient_descent_from_scratch
implementation of gradient descent from scratch with clear explanations and Python code.
Language: Jupyter Notebook - Size: 289 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
tonylevine/ML_Climate_Classification
Data classification problem using advanced supervised Machine Learning algorithms including k-Nearest Neighbors, Decision Trees, and Neural Networks.
Language: Jupyter Notebook - Size: 20.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Abdullahumar533/Pytorch-basics-autograd-gradient
Learn PyTorch basics with tensors, GPU checks, and tensor creation. Build a strong foundation for deep learning. 🌟 #GitHub
Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Shubbair/MicroGrad-JS
making MicroGrad with Javascript & Interactive Website to show Realtime Graph & Gradient
Language: HTML - Size: 7.17 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
oliverharboe/NeuralNetwork_From_Scratch
NeuralNetwork build from scrath using python and numpy
Language: Python - Size: 9.43 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
RfZafar/UnivariateMulitivariateAnalysis
This project is focused on predicting house prices from a single 'variable Area of lot'. i.e., Univariate Linear Regression. More precisely, the optimized parameters (Slope & Bias) are calculated for the cost function using the Batch Gradient descent.
Language: Jupyter Notebook - Size: 863 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
arthurdjn/nets
Recreating PyTorch from scratch, using Numpy. Supports FCN, CNN, RNN layers.
Language: Python - Size: 10.7 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 36 - Forks: 4
qazimsajjad/Machine-Learning-Course
This repository provides a comprehensive machine learning course with theoretical concepts and practical implementations
Language: Jupyter Notebook - Size: 48.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1
martn2023/flower_classification
Introducing 4 regression models, and how to optimize via Gradient Descent
Language: Jupyter Notebook - Size: 2.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
owengombas/owen.gombas.ch
My personal website with a small Rust Gradient Descent solver
Language: TypeScript - Size: 19.4 MB - Last synced at: 15 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
RubixML/Housing
An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.
Language: PHP - Size: 618 KB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 51 - Forks: 22
Aymen016/Deep-Learning-Projects
🧠 Foundational Deep Learning Projects built from scratch using Python & NumPy. Includes Linear & Logistic Regression, Neural Networks, and MLP classification with visualizations. Ideal for beginners and ML enthusiasts!
Language: Jupyter Notebook - Size: 7.61 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
ihoggan/ihoggan-portfolio
See Machine Adaptive Reasoning Training - Interactive Neural Network Learning Playground
Language: HTML - Size: 481 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
