Fast, flexible and fun neural networks. This is the successor of PyBrain.
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Distributed decision tree ensemble learning in Scala.
Build with AI, together. Anyone can AI, so get started today.
Online learning algorithms (Perceptron, AROW, SCW, Logistic Regression).
Implementation of Random Forest in Common Lisp.
Multidimensional cluster generation in Julia.
Multidimensional cluster generation in R.
Basic functions for clustering data: k-means, dp-means, etc.
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.
Who wrote the tutorial of VQGAN+CLIP.
Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.
Torch CUDA Neural Network Implementation.
University of Virginia School of Data Science advances data science and AI through interdisciplinary research, education, and collaboration.
Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science.
Dataframes for machine-learning and statistics (similar to pandas).
Platform democratizing access to data and enabling enterprises to build their own path to AI.
DataRobot delivers the industry- AI applications and platform that maximize impact and minimize risk for your business.
Decision Tree Classifier and Regressor.
Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
Julia module for Distance evaluation.
Clojure wrapper for Deeplearning4j.
Ready to use deeplearning docker images.