834 Open source projects that are alternatives of or similar to get-started-with-JAX

A library for performing hyperparameter optimization

SLAM - Simultaneous localization and mapping using OpenCV and NumPy.

Using computational thinking to get deep insights on the foundations of linear algebra

Play around with Pixel in Python

Control JupyterLab from Python Notebooks with Jupyter Widgets 🧪 ☢️ 🐍

A pytest plugin for regression testing and regenerating Jupyter Notebooks

Documented examples of Jupyterhub deployment in HPC settings

Library packs for google cloud functions

데이터 분석 모델링용 도커 이미지

Astetik takes away the pain from telling visual stories with data on Python

Fast zero-overhead bindings between NumPy and Eigen

Ready-to-run Docker images containing Jupyter applications

Jupyter notebooks for tutorial on the Z3 SMT solver

NumPy drop-in replacement for Intel(R) XPUs

Extension to hypothesis for testing numpy general universal functions

Jupyter kernel for Racket

Collection of (unfinished) notebooks

PyTorch1.0 深度学习：60分钟入门与实战（Deep Learning with PyTorch: A 60 Minute Blitz 中文翻译与学习）

weighted quantiles with Python

Awesome Spectral Indices in Python.

Interactive performance benchmarking in Jupyter

jupyter notebook 的思维导图插件

Functions that create PNG and animated PNG files from numpy arrays.

A library to interface molecules and machine learning.

Python Machine Learning Snippets contains various machine learning examples as Jupyter notebooks with scikit-learn, statsmodel, numpy and other libraries.

A framework for querying AWIPS meteorological datasets from an EDEX Data Server.

Easy SimAuto (ESA): An easy-to-use Power System Analysis Automation Environment atop PowerWorld Simulator Automation Server (SimAuto)

Scientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.

NER, syntax markup visualizations

GitHub Action that generates "Open In Colab" Badges for you

An example of running JupyterLab on Heroku, with Amazon S3.

Federated posterior averaging implemented in JAX

Toy implementations of some popular ML optimizers using Python/JAX

NumFocus Academy - Matplotlib (beginner)

Load embeddings and featurize your sentences.

A 3D electromagnetic FDTD simulator written in Python

A port of a small but relevant part of Numpy to Transcrypt, simplified for the sake of speed

Jupyter kernel for Coq

A MongoDB kernel for Jupyter

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

Zoe: Container Analytics as a Service -- mirror of https://gitlab.eurecom.fr/zoe/main/

Deep Learning framework with NVIDIA & AMD support

Jupyter Interactive Widgets library for 3-D mesh analysis

Read numpy .npy files in JavaScript

Emerging Technologies Project - 4th Year 2017

Fetch RTSP Stream using GStreamer in Python and get image in Numpy

Concrete Numpy is a python package that contains the tools data scientists need to compile various numpy functions into their Fully Homomorphic Encryption (FHE) equivalents. Concrete Numpy goes on top of the Concrete Library and its Compiler.

RocketJoe is a software development platform for creating high-performance applications.

Docker images of Jupyter Lab for various languages.

Python binding of primitiv.

ampscan is an open-source Python package for analysis and visualisation of digitised surface scan data, specifically for applications within Prosthetics and Orthotics (P&O), with an aim to improve evidence-based clinical practice towards improved patient outcomes.

A directory sharing service for JupyterHub

A FORTRAN module to write Numpy's *.npy and *.npz files

JupyterLab 2/3 Solarized Dark extension

Python3 teaching materials for functions and modules (1 day)

IPython2CWL is a tool for converting IPython Jupyter Notebooks to CWL Command Line Tools by simply providing typing annotation.

Course taught at the University of Bordeaux in the academic year 2017 for PhD students.

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

A defined interface for working with a cache of executed jupyter notebooks

Functions and classes for gradient-based robot motion planning, written in Ivy.