A Multivariate Gaussian Bayes classifier written using JAX
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Updated
Sep 22, 2022 - Python
A Multivariate Gaussian Bayes classifier written using JAX
Optimal choice for 🛰 classification problem.
Classification of multilingual dataset trained only on English training data using pre-trained models. Model is trained on TPUs using PyTorch and torch_xla library.
Versatile Data Ingestion Pipelines for Jax
Scala (XLA) Stratum protocol proxy with panthera (not official)
Tutorial about How to change your slow tensorflow training faster
Mine verus coin on ARM like Pi, Tablet, Mobile & Other.
Modern Graph TensorFlow implementation of Super-Resolution GAN
Access the Xspec models and corresponding JAX/XLA ops.
As the quality of large language models increases, so do our expectations of what they can do. Since the release of OpenAI's GPT-2, text generation capabilities have received attention. And for good reason - these models can be used for summarization, translation, and even real-time learning in some language tasks.
deep learning inference perf analysis
Deep learning solution for Cassava Leaf Disease Classification, a Kaggle's Research Code Competition using Tensorflow.
Example how to train GPT-2 (XLA + AMP), export to SavedModel and serve with Tensorflow Serving
Tensorflow2 training code with jit compiling on multi-GPU.
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