Difference between revisions of "PyTorch"
Jump to navigation
Jump to search
| Line 2: | Line 2: | ||
* [[Google Trends]]: https://trends.google.com/trends/explore?date=all&q=PyTorch | * [[Google Trends]]: https://trends.google.com/trends/explore?date=all&q=PyTorch | ||
| − | + | * Installation: <code>[[pip3 install torch torchvision]]</code> | |
| − | |||
== Related == | == Related == | ||
Revision as of 10:31, 1 October 2022
wikipedia:PyTorch (2016) machine learning library
- Installation:
pip3 install torch torchvision
Related
- ONNX
- PyTorch distributed, use in Tesla Autopilot
- DNN
- CUDA
- Tinygrad
- FAIR
import torch
See also
- Machine learning: PyTorch, ONNX,
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
- 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
Advertising:
