1151 Open source projects that are alternatives of or similar to saddle

Numpy style scientific programming package

Mathematical preliminaries for machine learning

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Properly generate a 3D numpy array from a set of DICOM files.

Transpose: SIMD Integer+Floating Point Compression Filter

Eliot: the logging system that tells you *why* it happened

Algorithmic trading using machine learning.

No description or website provided.

R bindings for xtensor

A software to write an optimized code that calculates inverse and determinant of N by N matrix.

napari: a fast, interactive, multi-dimensional image viewer for python

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

PyArmadillo: an alternative approach to linear algebra in Python

A series of self-correcting challenges for practicing your Machine Learning and Deep Learning skills

A cross platform matrix rain made with Rust.

收录开源的经典技术书籍 PDF 文件及相关网站，持续更新中...

Vector-geometry toolbelt for 3D points and vectors

practical quantum-secure key encapsulation from generic lattices

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Contentful App that adds UI for a table-like list of references with other associated data.

Machine learning algorithms implemented by pure numpy

A playground for learning DataStructures, Algorithms, and Object-Oriented Concepts.

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

A WhatsApp Chat analyzer and statistics.

100 numpy exercises (with solutions)

NumPy aware dynamic Python compiler using LLVM

Password Provider for Synapse fetching data from a REST endpoint

A Python wrapper for Kaldi

File Compressor written in C using both Shannon Fano and RLE algorithms

This is the implementation of paper Model Free Episodic Control

A cross-platform and blazingly fast Matrix client focused on group and gaming chat.

Taking the O out of ORM.

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

library of numerical methods using Armadillo

A JIT compiled chess engine which traverses the search tree in batches in a best-first manner, allowing for neural network batching, asynchronous GPU use, and vectorized CPU computations.

data wrangling simplicity, complete audit transparency, and at speed

NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Table analysis and plotting application written in PySide2/PyQt5

A gym environment for Stuart Armstrong's model of a treacherous turn.

Sygnal: reference Push Gateway for Matrix

A Python 3 asyncio Matrix framework.

Implementation of key concepts of neuralnetwork via numpy

A simple neural network (multilayer perceptron) with backpropagation implemented in Python with NumPy

Structured data processing in Kotlin

Yet another Python binding for fastText

A Python implementation of Sky Region Detection in a Single Image for Autonomous Ground Robot Navigation (Shen and Wang, 2013)

Modern Fortran Interfaces to BLAS and LAPACK

A naive (very simple!) implementation of a convolutional neural network

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

📓 deepleaning and cv notes.

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2022 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Go data analysis / manipulation library built on top of Apache Arrow

Statistical Rethinking (2nd ed.) with NumPyro

Introduction to Python: Numerical Analysis for Engineers and Scientist. In 2017, Python became the world's most popular programming language. This course covers the basic syntax, linear algebra, plotting, and more to prepare students for solving numerical problems with Python.

A collection of analytics methods implemented with Python on Google Colab

Utility class to manipulate dataset from CSV file

Connectors available to retrieve data in Toucan Toco small apps

This library was developed for economic analysis in the Brazilian scenario (Investments, micro and macroeconomic indicators)

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.