NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
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Support Vector Machine for Node.js.
Reference implementations of ML models written in numpy.
Numenta Platform for Intelligent Computing.
A low-level Linear Regression Engine utilizing the Ordinary Least Squares (OLS) method and QR decomposition.
Examples and guides for using the OpenAI API.
A Python-inspired implementation of the Optimum-Path Forest classifier.
Supports teaching, studying or skills practice with AI-guided learning tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
Reinforcement learning using Markov Decision Processes.
Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
Supports teaching, studying or skills practice with AI-guided learning tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
Multidimensional cluster generation in Python.
Supports teaching, studying or skills practice with AI-guided learning tools.
Peer-to-peer network of data owners and data scientists who can collectively train AI models using PySyft.
This fast-paced intro to programming with Python will have you writing code, solving problems, and making cool projects in no time.
Course for Python programming for the Humanities, assuming no prior knowledge. Heavy focus on text processing / NLP.
Python bindings for ZPar, a statistical part-of-speech-tagger, constituency parser, and dependency parser for English.
A temporal extension of PyTorch Geometric for dynamic graph representation learning.
R news and tutorials contributed by hundreds of R bloggers.
Decision-making tool powered by the latest GPT and in-context learning.
Tutorial on Python time-series model deployment.