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Section: AI & Machine Learning Platforms · Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.
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High-level, beginner-friendly API that now runs on multiple backends (TensorFlow, JAX, PyTorch). Perfect for rapid experimentation.
Section: AI & Machine Learning Platforms · Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.
Section: Tools · High-level neural networks API, running on top of TensorFlow.
Section: Frameworks for Training · Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow.
Section: Python · High-level neural networks frontend for TensorFlow, CNTK and Theano.
Section: 1. Core Frameworks & Libraries · High-level, beginner-friendly API that now runs on multiple backends (TensorFlow, JAX, PyTorch). Perfect for rapid experimentation.
Section: Machine Learning Frameworks · Deep Learning for humans
Section: Data Science · The most user friendly Deep Learning for humans in Python
Section: Deep Learning · A high-level deep learning library with support for JAX, TensorFlow, and PyTorch backends.
Section: Fundamental libraries · | Python | - The most user friendly Deep Learning for humans in Python
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).
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]
Official TensorFlow repository of state-of-the-art (SOTA) models and modeling solutions. Contains reference implementations for BERT, ResNet, Transformer, and many more with pre-trained weights and training scripts. Apache 2.0 licensed.
Scikit-learn is a powerful machine learning library that provides a wide variety of modules for data access, data preparation and statistical model building.