Difference between revisions of "Tinygrad"
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| − | [[wikipedia:Tinygrad]] | + | [[wikipedia:Tinygrad]] [[deep learning]] framework with support for both [[inference]] and [[training]]. |
* https://github.com/geohot/tinygrad | * https://github.com/geohot/tinygrad | ||
| − | + | * Tinygrad can run [[LLaMA]] and [[Stable Diffusion]]. | |
[[Pytorch]] | [[Pytorch]] | ||
| Line 10: | Line 10: | ||
* [[Inference]] | * [[Inference]] | ||
* [[Training]] | * [[Training]] | ||
| + | |||
| + | * [[PFLOPS]] | ||
| + | * [[Micrograd]] | ||
| + | * [[AMD MI300X]] | ||
== See also == | == See also == | ||
* {{George Hotz}} | * {{George Hotz}} | ||
* {{ML}} | * {{ML}} | ||
| + | |||
| + | [[Category:Computing]] | ||
Latest revision as of 09:13, 26 September 2024
wikipedia:Tinygrad deep learning framework with support for both inference and training.
- https://github.com/geohot/tinygrad
- Tinygrad can run LLaMA and Stable Diffusion.
See also[edit]
- George Hotz, Comma.ai, Openpilot, Tinygrad
- 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
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