398 Open source projects that are alternatives of or similar to Funsor

NumPy & SciPy for GPU

These are the projects I did on my Udacity Deep Learning Nanodegree 🌟 💻 💻. 💥 🌈

The interface between ROOT and NumPy

🌎→🗾Equirectangular (360/panoramic) image processing library for Python with minimal dependencies only using Numpy and PyTorch

TensorFlow Exercises - focusing on the comparison with NumPy.

Our deep learning for computer vision related project for nostalgic poke weebs (Sistemi digitali, Unibo).

Credit Risk analysis by using Python and ML

NPBench - A Benchmarking Suite for High-Performance NumPy

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

We're moving. Please visit https://github.com/PyWavelets

N-dimensional arrays in Scala 3. Think NumPy ndarray, but type-safe over shapes, array/axis labels & numeric data types

Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.

Fast, discrete natural neighbor interpolation in 3D on the CPU.

Data Reading Blocks for Python

2.5k code solutions with clear explanation @ onelinerhub.com

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Implementation of key concepts of neuralnetwork via numpy

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

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

A scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.

Python interface to the TileDB storage manager

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.

Skin export / import tools for Autodesk Maya

Using word vectors to classify spam messages

🚀 Make your Python code fly at transonic speeds!

PyO3-based Rust binding of NumPy C-API

Curso de Ciência da Computação

A pure-python/numpy autograd tensor library

Engezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

R bindings for xtensor

Color tracking with OpenCV

用python做计算机视觉，人工智能，机器学习，深度学习等

Wavelet scattering transforms in Python with GPU acceleration

This is the repository of codes written in class.

Animations of random double pendulums

A performant NumPy extension for Galois fields and their applications

A workshop for scientific computing in Python. ( December 2017 )

Offline documentation built from official PyTorch release

image processing codes to understand algorithm

An intelligent block matrix library for numpy, PyTorch, and beyond.

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

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

Accurate sums and dot products for Python.

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Numpy beginner tutorial

Bootcamp to learn Python for Machine Learning

Data science teaching materials

Example Order Book Imbalance Algorithm

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

Technical Analysis Library using Pandas and Numpy

Kalman Filter implementation in Python using Numpy only in 30 lines.

Numpy Audio DSP Tools

🌟 Human Face Detection based on AdaBoost

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

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

Fast zero-overhead bindings between NumPy and Eigen