Awesome Data Analysis
Section: Useful Python Tools for Data Analysis · Parallel computing for arrays and DataFrames.
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Appears in 11 awesome lists
| Python | - Parallel computing with task scheduling in Python with a Pandas like API
Section: Useful Python Tools for Data Analysis · Parallel computing for arrays and DataFrames.
Section: Libraries · "a flexible parallel computing library for analytics."
Section: 1. Core Frameworks & Libraries · Parallel computing for big data - scales Pandas/NumPy/scikit-learn to clusters.
Section: Pipeline frameworks & libraries · Dask is a flexible parallel computing library for analytics.
Section: Computation and Communication Optimisation · Distributed parallel processing framework for Pandas and NumPy computations.
Section: Distributed Computing · A flexible parallel computing library for analytic computing.
Section: Computations · Parallel computing with task scheduling.
Section: Parallel Processing · Parallel computing with task scheduling for Python.
Section: Graph Computation · Parallel computing with task scheduling in Python with a Pandas like API
Section: Concurrency and Parallelism · Parallel computing with task scheduling
Section: Computation · | Python | - Parallel computing with task scheduling in Python with a Pandas like API
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.
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…
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]