XLA integration of Open Neural Network Exchange (ONNX)
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Updated
Aug 17, 2018 - C++
XLA integration of Open Neural Network Exchange (ONNX)
TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA
Automated provisioner of a Google Cloud TPU environment for training in PyTorch
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.
Julia on TPUs
Tensorflow2 training code with jit compiling on multi-GPU.
Deep learning solution for Cassava Leaf Disease Classification, a Kaggle's Research Code Competition using Tensorflow.
deep learning inference perf analysis
基于tensorflow1.x的预训练模型调用,支持单机多卡、梯度累积,XLA加速,混合精度。可灵活训练、验证、预测。
Optimal choice for 🛰 classification problem.
Scala (XLA) Stratum protocol proxy with panthera (not official)
Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload
A Multivariate Gaussian Bayes classifier written using JAX
Versatile Data Ingestion Pipelines for Jax
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.
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