Solve puzzles. Learn CUDA.
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The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
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The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
DeepXplore code release
You like pytorch? You like micrograd? You love tinygrad! ❤️
RAdam implemented in Keras & TensorFlow
Homepage
Total stars
329
Language
Python
Related Repositories
Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
Data imputations library to preprocess datasets with missing data
GPU Accelerated t-SNE for CUDA with Python bindings
Parallelformers: An Efficient Model Parallelization Toolkit for Deployment
Homepage
Total stars
504
Language
Python
Related Repositories
From the basics to slightly more interesting applications of Tensorflow