Awesome Data Analysis
Section: Useful Python Tools for Data Analysis · A NumPy-compatible array library accelerated by NVIDIA CUDA for high-performance computing.
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An implementation of NumPy-compatible multi-dimensional array on CUDA. CuPy consists of the core multi-dimensional array class, cupy.ndarray, and many functions on it.
Section: Useful Python Tools for Data Analysis · A NumPy-compatible array library accelerated by NVIDIA CUDA for high-performance computing.
Section: Python · NumPy-like API accelerated with CUDA.
Section: 1. Core Frameworks & Libraries · NumPy and SciPy-compatible array library for GPU-accelerated computing in Python.
Section: Computation and Communication Optimisation · An implementation of NumPy-compatible multi-dimensional array on CUDA. CuPy consists of the core multi-dimensional array class, cupy.ndarray, and many functions on it.
Section: Mathematics · NumPy & SciPy for GPU
Section: Computations · NumPy-like API accelerated with CUDA.
Section: Parallel Processing · NumPy-like API accelerated with CUDA.
Section: Python Performance Booster · | Python, C++, Cython, Cuda | - CuPy is an open-source array library for GPU-accelerated computing with Python. 100x Boost for some operations
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]