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An awesome list of low- and no-code generative AI resources.
Open-source project that catalogs AI services and resources for browsing by feature or use case.
Open-source project that catalogs AI services and resources for browsing by feature or use case.
Open-source project that catalogs AI services and resources for browsing by feature or use case.
Open-source project that catalogs AI services and resources for browsing by feature or use case.
Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).
Implementation of Random Forest in Common Lisp.
Official plugin resources and examples for extending Claude-based workflows.
Organizes AI tools and resources so people can browse and compare relevant services.
Supports teaching, studying or skills practice with AI-guided learning tools.
Multidimensional cluster generation in Julia.
Multidimensional cluster generation in R.
Basic functions for clustering data: k-means, dp-means, etc.
Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms.
Cognitive Class AI by IBM provides AI-assisted learning, courses, tutorials, or study support.
Neural networks, regression and feature learning in Clojure.
Track 3: Agentic Demo Submission Hugging Face Agent Hackathon 2025.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai.
Where the pros learn the AI skills of the future. Explore your creativity with our hands-on AI courses.
Who wrote the tutorial of VQGAN+CLIP.
FANN (Fast Artificial Neural Network) binding.
Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.
Torch CUDA Neural Network Implementation.