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SciPy

Appears in 6 awesome lists

Scientific computing algorithms (optimization, linear algebra, statistics, signal processing).

Open github.comscipy/scipy

Found in these lists

Awesome Data Analysis

Section: Tools · Fundamental library for scientific computing and statistics.

FreshScore 80

Awesome Open Source AI

Section: 1. Core Frameworks & Libraries · Scientific computing algorithms (optimization, linear algebra, statistics, signal processing).

FreshScore 89

awesome-python

Section: Mathematics · SciPy library main repository

FreshScore 81

Libraries and packages

Section: Data Science · Fundamental algorithms for scientific computing in Python

FreshScore 86

Awesome Python

Section: Science · Fundamental algorithms for scientific computing in Python.

FreshScore 94

Awesome Systematic Trading

Section: Fundamental libraries · | Python, C | - Fundamental algorithms for scientific computing in Python

FreshScore 89

TensorFlow

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.

In 23 listsDetails

PyTorch

(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.

In 16 listsDetails

Luigi

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.

In 15 listsDetails

transformers

(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…

In 14 listsDetails

Apache Airflow

"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…

In 13 listsDetails

XGBoost

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]

In 11 listsDetails

Gradio

Build and share delightful machine learning apps, all in Python. The de facto standard for creating interactive ML demos with automatic UI generation from function signatures. Powers thousands of Hugging Face Spaces.

In 11 listsDetails

Dask

| Python | - Parallel computing with task scheduling in Python with a Pandas like API

In 11 listsDetails