Workshop given in graduate-level thin film coatings course in ITU
A Multivariate Gaussian Bayes classifier written using JAX
Versatile Data Ingestion Pipelines for Jax
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.
High-performance TensorFlow library for quantitative finance.
JAX Foreign Function Interface experiments
Repository of Computer Vision projects based on CNNs, Vision Transformers, and YOLO11, implemented with TensorFlow, PyTorch, Hugging Face, and Ultralytics.
Dataloading for JAX
Scala (XLA) Stratum protocol proxy with panthera (not official)
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.
Tutorial about How to change your slow tensorflow training faster
[WIP] Neptune: JAX iterop-able library in Haskell.
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