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
Scala (XLA) Stratum protocol proxy with panthera (not official)
A practical method for training energy-based language models.
Tutorial about How to change your slow tensorflow training faster
Deep learning solution for Cassava Leaf Disease Classification, a Kaggle's Research Code Competition using Tensorflow.
Access the Xspec models and corresponding JAX/XLA ops.
Modern Graph TensorFlow implementation of Super-Resolution GAN
Optimal choice for 🛰 classification problem.
deep learning inference perf analysis
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.
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.
Automated provisioner of a Google Cloud TPU environment for training in PyTorch
Versatile Data Ingestion Pipelines for Jax
Example how to train GPT-2 (XLA + AMP), export to SavedModel and serve with Tensorflow Serving
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