github.com
Neural networks in JavaScript - continued community fork of Brain.
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github.com
Fast, flexible and fun neural networks. This is the successor of PyBrain.
github.com
Distributed decision tree ensemble learning in Scala.
buildclub.ai
Build with AI, together. Anyone can AI, so get started today.
ccusage.com
Ccusage supports software development with code generation, analysis, debugging, or documentation.
github.com
Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).
github.com
Implementation of Random Forest in Common Lisp.
university.clay.com
Supports teaching, studying or skills practice with AI-guided learning tools.
cline.bot
Cline supports software development with code generation, analysis, debugging, or documentation.
github.com
Multidimensional cluster generation in Julia.
github.com
Multidimensional cluster generation in R.
github.com
Basic functions for clustering data: k-means, dp-means, etc.
github.com
Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms.
github.com
Neural networks, regression and feature learning in Clojure.
huggingface.co
Track 3: Agentic Demo Submission Hugging Face Agent Hackathon 2025.
github.com
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai.
prompthero.com
Where the pros learn the AI skills of the future. Explore your creativity with our hands-on AI courses.
github.com
Who wrote the tutorial of VQGAN+CLIP.
github.com
FANN (Fast Artificial Neural Network) binding.
cs231n.github.io
Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.
github.com
Torch CUDA Neural Network Implementation.
github.com
Supports teaching, studying or skills practice with AI-guided learning tools.
datascience.virginia.edu
University of Virginia School of Data Science advances data science and AI through interdisciplinary research, education, and collaboration.
github.com
Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science.