Difference between revisions of "PyTorch"
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[[wikipedia:PyTorch]] ([[2016]]) [[machine learning]] library | [[wikipedia:PyTorch]] ([[2016]]) [[machine learning]] library | ||
| + | * [[Google Trends]]: https://trends.google.com/trends/explore?date=all&q=PyTorch | ||
== Installation == | == Installation == | ||
Revision as of 23:14, 17 June 2022
wikipedia:PyTorch (2016) machine learning library
Installation
- PyTorch distributed, use in Tesla Autopilot
- DNN
- CUDA
import torch
Related
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
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