Difference between revisions of "PyTorch"
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* <code>[[import torch]]</code> | * <code>[[import torch]]</code> | ||
* <code>[[cross_entropy]]</code> | * <code>[[cross_entropy]]</code> | ||
| + | * [[MTIA]] | ||
== See also == | == See also == | ||
Revision as of 07:07, 21 May 2023
wikipedia:PyTorch (2016) machine learning library
- Installation:
pip3 install torch torchvision
Related
- ONNX
- PyTorch distributed, use in Tesla Autopilot
- DNN
- CUDA
- Tinygrad
- FAIR
import torchcross_entropy- MTIA
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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