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Accelerate research with next-gen evolutionary algorithms and neuroevolution tools.
A flexible machine learning platform for drug discovery utilizing various advanced techniques.
A graphical interface for PyTorch, simplifying AI model training and comparison.
A PyTorch-based library for running complex experiments with multiple training stages and AWS integration.
A PyTorch library for logical reasoning over natural language with datasets and models.
A Java-based deep learning framework for training models and interoperability with Python.
Learn AI programming with hands-on courses and free tutorials focused on practical applications.
Collection of PyTorch implementations of neural networks and algorithms with detailed annotations.
An end-to-end framework for scalable image and video classification.
A high-level library for training and evaluating neural networks in PyTorch.
Design and sample complex probability distributions with PyTorch using FlowTorch.
A library for state-of-the-art self-supervised learning from images, powered by PyTorch.
Model interpretability library for PyTorch designed to understand and explain neural network decisions.
Train PyTorch models with Differential Privacy
A highly efficient and modular implementation of Gaussian Processes with GPU acceleration.
A universal probabilistic programming language for deep probabilistic modeling.
A framework for rapidly creating AI-powered mobile applications.