4 Repos
Awesome GitHub RepositoriesLinear Classifiers
Models that map input features to class scores using a weight matrix and bias vector.
Distinguishing note: No candidates provided focus on the specific linear mapping of image pixels to scores.
Explore 4 awesome GitHub repositories matching artificial intelligence & ml · Linear Classifiers. Refine with filters or upvote what's useful.
Awesome Linear Classifiers GitHub Repositories
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- rasbt/python-machine-learning-book
rasbt/python-machine-learning-book
12,614Auf GitHub ansehenThis project is an educational resource providing practical code examples and implementations of machine learning algorithms using the Python language. It serves as a guide for constructing predictive pipelines, clustering models, and dimensionality reduction within the Scikit-Learn ecosystem. The repository includes comprehensive demonstrations for supervised and unsupervised learning, as well as detailed examples for implementing neural networks and deep architectures. It also provides practical guidance on exporting model parameters to JSON and wrapping trained models in web APIs for produ
Implements linear classifiers that separate data classes using weight matrices and bias vectors.
Jupyter Notebook - cs231n/cs231n.github.io
cs231n/cs231n.github.io
10,923Auf GitHub ansehenThis project is a static educational website and comprehensive curriculum focused on computer vision and deep learning. It serves as a public repository of instructional materials, lecture notes, and technical guides specifically detailing convolutional neural networks and visual recognition. The site is developed using static-site generation to host course documentation and student project directories. It provides structured academic resources that guide learners through image classification, generative modeling, and the implementation of various neural network architectures. The curriculum
Teaches the process of mapping flattened pixel vectors to confidence scores via linear mappings.
Jupyter Notebook - nyandwi/machine_learning_complete
Nyandwi/machine_learning_complete
4,983Auf GitHub ansehenThis is an interactive notebook-based course that teaches machine learning from Python fundamentals through deep learning and natural language processing. It uses real datasets and multiple frameworks within a structured, hands-on curriculum that combines concise explanations with executable code cells, built-in datasets, and embedded exercise checkpoints. Learning progresses through data preparation and exploration, classical machine learning workflows, computer vision with convolutional neural networks, and natural language processing with deep learning, all delivered as a cohesive progressi
Implements classification models such as Logistic Regression to predict discrete target labels.
Jupyter Notebookcomputer-visiondata-analysisdata-science - hustvl/vim
hustvl/Vim
3,882Auf GitHub ansehenVim is a state space model vision framework designed for image classification and visual representation learning. It functions as a computer vision research tool that converts two-dimensional image grids into one-dimensional sequences to extract spatial features. The system implements a linear-scaling image classifier that replaces quadratic attention mechanisms with state space operations. This approach utilizes bidirectional sequence modeling and selective gating mechanisms to process visual data. The framework covers computer vision benchmarking and image classification research, providin
Implements an image classification architecture that scales linearly relative to input sequence length.
Python
