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Section: Official Libraries · A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.
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Accelerate abstracts exactly and only the boilerplate code related to multi-GPU/TPU/mixed-precision and leaves the rest of your code unchanged.
Section: Official Libraries · A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.
Section: Frameworks for Training · 🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.
Section: Optimization Tools · A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.
Section: 1. Core Frameworks & Libraries · Simple API to make training scripts run on any hardware (multi-GPU, TPU, mixed precision) with minimal code changes.
Section: Computation and Communication Optimisation · Accelerate abstracts exactly and only the boilerplate code related to multi-GPU/TPU/mixed-precision and leaves the rest of your code unchanged.
Section: Other libraries: · A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.
(label: good first issue) PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
(formerly known as pytorch-transformers and pytorch-pretrained-bert) provides state-of-the-art general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet, CTRL...) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in…
(from Hpcaitech) - A Unified Deep Learning System for Large-Scale Parallel Training (1D, 2D, 2.5D, 3D and sequence parallelism, and ZeRO protocol).
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library. ray.io
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow. [Apache2]
Scikit-learn is a powerful machine learning library that provides a wide variety of modules for data access, data preparation and statistical model building.