Awesome Data Analysis
Section: Tools · High-level library to help with training and evaluating neural networks.
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High-level library for training and evaluating neural networks in PyTorch with an engine, events & handlers system for maximum flexibility. BSD-3-Clause licensed.
Section: Tools · High-level library to help with training and evaluating neural networks.
Section: Deep Learning Packages
Section: 1. Core Frameworks & Libraries · High-level library for training and evaluating neural networks in PyTorch with an engine, events & handlers system for maximum flexibility. BSD-3-Clause licensed.
Section: Model Training and Orchestration · Ignite is a high-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Section: PyTorch · High-level library to help with training neural networks in PyTorch.
Section: Other libraries: · Ignite is a high-level library to help with training neural networks in PyTorch.
Section: Machine Learning Frameworks · High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
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.
Visualizer for deep learning and machine learning models (no Python code, but visualizes models from most Python Deep Learning frameworks).
Python module for building complex pipelines of batch jobs. Handles dependency resolution, workflow management, visualization, and Hadoop integration. Built at Spotify and battle-tested in production. Apache 2.0 licensed.
(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…
"Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it…