ScotchPy is a python module to interface the Scotch/PT-Scotch graph partitioner library.

The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, datasets and groups using established Python and NumPy concepts.

TensorFlow is a flexible platform for building and training machine learning models. It provides a library for high performance numerical computation and includes high level Python APIs, including both a sequential API for beginners that allows users to build models quickly by plugging together building blocks and a subclassing API with an imperative style for advanced research.

JAXopt provides hardware accelerated, batchable and differentiable optimizers in JAX.

1. Hardware accelerated: the implementations run on GPU and TPU, in addition to CPU.

2. Batchable: multiple instances of the same optimization problem can be automatically vectorized using JAX’s vmap.

3. Differentiable: optimization problem solutions can be differentiated with respect to their inputs either implicitly or via autodiff of unrolled algorithm iterations.

TensorFlow is a flexible platform for building and training machine learning models. It provides a library for high performance numerical computation and includes high level Python APIs, including both a sequential API for beginners that allows users to build models quickly by plugging together building blocks and a subclassing API with an imperative style for advanced research.

pybind11 is a lightweight header-only library that exposes C++ types in Python and vice versa, mainly to create Python bindings of existing C++ code. Its goals and syntax are similar to the Boost.Python library: to minimize boilerplate code in traditional extension modules by inferring type information using compile-time introspection.

Chex is a library of utilities for helping to write reliable JAX code. This includes utils to help:

• Instrument your code (e.g. assertions)

• Debug (e.g. transforming pmaps in vmaps within a context manager).

• Test JAX code across many variants (e.g. jitted vs non-jitted).

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of probabilistic methods with deep networks, gradient-based inference via automatic differentiation, and scalability to large datasets and models via hardware acceleration (e.g., GPUs) and distributed computation.

This package provides a Stream and Optional class.

Object.prototype.hasOwnProperty.call shortcut

Create and parse Content-Disposition header

A library for manipulating IPv4 and IPv6 addresses in JavaScript.

Create a javascript regular expression for matching everything except for the given string.

Escape RegExp special characters

Fastest brace expansion for node.js, with the most complete support for the Bash 4.3 braces specification.

TypeScript definitions for Node.js

Does this environment have the ability to get the [[Prototype]] of an object on creation with `__proto__`?

Returns true if a value exists, false if empty. Works with deeply nested values using object paths.

A tiny (183B to 210B) and fast utility to ascend parent directories

ProseMirror's view component

preconfigured nodejs util for inspecting, and customizing inspecting

Does a shallow comparison of two objects, returning false if the keys or values differ.

babel selfContained runtime

This is a pure-js JSON streaming parser for node.js