PyTorch

wikipedia:PyTorch (2016) machine learning library

• Google Trends: https://trends.google.com/trends/explore?date=all&q=PyTorch

• Installation: pip3 install torch torchvision

building blocks like nn.Conv2d, nn.Linear, nn.ReLU, and nn.MaxPool2d

Related

• ONNX
• PyTorch distributed, use in Tesla Autopilot
• DNN
• CUDA
• Tinygrad
• FAIR
• import torch
• cross_entropy
• MTIA
• The provided PTX was compiled with an unsupported toolchain

See also

• Machine learning: PyTorch, JAX, TensorFlow, ONNX, TensorRT, collect_env.py
• Machine learning, Deep learning, AWS Sagemaker, PyTorch, Kubeflow, TensorFlow, Keras, Torch, Spark ML, Tinygrad, Apple Neural Engine, Scikit-learn, MNIST, MLOps, AutoML, ClearML, PostgresML, AWS Batch, Transformer, Diffusion, Backpropagation, JAX, Vector database, LLM, The Forrester Wave: AI/ML Platforms, Embeddings, Stochastic gradient descent
• AI: Autonomous driving, OpenAI, Google AI,Eliezer Yudkowsky, DeepMind, Computer Vision, Neural network, Vertex AI, Instadeep, Deep learning, Infogrid, Sapling, AssemblyAI, V7, MTIA, Yann LeCun, AI WiW, Salesforce AI, Pika, Amazon Q, LLM, Ollama, Cloud AI Developer Services, Hugging Face, Databricks, Generative AI, Azure OpenAI, AI token, AI code