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: <code>[[pip3 install torch torchvision]]</code> | ||
| + | |||
| + | == Related == | ||
| + | * [[ONNX]] | ||
| + | * PyTorch distributed, use in [[Tesla Autopilot]] | ||
| + | * [[DNN]] | ||
| + | * [[CUDA]] | ||
| + | * [[Tinygrad]] | ||
| + | * [[FAIR]] | ||
| + | * <code>[[import torch]]</code> | ||
| + | * <code>[[cross_entropy]]</code> | ||
| + | * [[MTIA]] | ||
| + | * [[The provided PTX was compiled with an unsupported toolchain]] | ||
== See also == | == See also == | ||
| + | * {{PyTorch}} | ||
* {{ML}} | * {{ML}} | ||
| + | * {{AI}} | ||
| + | |||
| + | |||
| + | [[Category:Cars]] | ||
Latest revision as of 06:10, 27 May 2024
wikipedia:PyTorch (2016) machine learning library
- Installation:
pip3 install torch torchvision
Related[edit]
- ONNX
- PyTorch distributed, use in Tesla Autopilot
- DNN
- CUDA
- Tinygrad
- FAIR
import torchcross_entropy- MTIA
- The provided PTX was compiled with an unsupported toolchain
See also[edit]
- 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
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