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PYTORCH

Train and deploy deep learning models with a flexible Python framework

BSD-3-Clause

ABOUT

Training and iterating on machine learning systems requires fast tensor operations, gradient computation, hardware acceleration, and a developer-friendly programming model. PyTorch provides one framework for building, training, and optimizing neural networks with automatic differentiation and strong GPU support, reducing the amount of custom infrastructure teams need to move from experimentation to real model development workflows.

INSTALL
pip3 install torch torchvision

INTEGRATION GUIDE

1. Train computer vision models for classification, detection, and segmentation tasks 2. Build and fine-tune transformer models for NLP and generative AI workloads 3. Develop speech and audio models with GPU-accelerated tensor operations and autograd 4. Prototype reinforcement learning agents with flexible model definition and training loops 5. Run research experiments that need rapid iteration on custom neural network architectures

TAGS

deep-learningmachine-learningtensorautogradgpupythonneural-networkstraining