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
JAX Foreign Function Interface experiments
Scala (XLA) Stratum protocol proxy with panthera (not official)
Tutorial about How to change your slow tensorflow training faster
Dataloading for JAX
A practical method for training energy-based language models.
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
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
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
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