582 Open source projects that are alternatives of or similar to Youtube Report

This repository helps you understand python from the scratch.

🎚️ Open Source Audio Matching and Mastering

A Python library for common tasks on 3D point clouds

Open Data Cube analyses continental scale Earth Observation data through time

Wavelet scattering transforms in Python with GPU acceleration

📈 TensorFlow + Matplotlib as TF ops

64bit multithreaded python data analytics tools for numpy arrays and datasets

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

3D mathematical functions using NumPy

Examples for the usage of "pybind11"

TensorFlow Exercises - focusing on the comparison with NumPy.

A comprehensive Data and Text Mining workflow for submissions and comments from any given public subreddit.

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

Several simple music synthesizers in Python 3. Input from ABC or MIDI files is also supported.

A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.

Add built-in support for quaternions to numpy

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

matplotlib中文文档

python从最基础的语法历经网络基础、前端基础、后端基础和爬虫与数据基础走向机器学习

Create matplotlib plots with broken axes

Notebooks and libraries for spatial/geo Python explorations

A complete docker package for deploying django which is easy to understand and deploy anywhere.

Area-weighted venn-diagrams for Python/matplotlib

A python based sorting visualizer built with the help of Matplotlib animations

PyTorch, TensorFlow, JAX and NumPy — all of them natively using the same code

AI比赛相关信息汇总

Numpy beginner tutorial

A Python 3 library to make psychrometric charts and overlay information on them.

Bindings between Numpy and Eigen using Boost.Python

Sparse multi-dimensional arrays for the PyData ecosystem

Use AI to generate a optimized stock portfolio

A simple movie recommendation engine

A set of useful perceptually uniform colormaps for plotting scientific data

中文版scipy-lecture-notes. 网站下线, 以离线HTML的形式继续更新, 见release.

Creating figures and animations for multi-channel images with a focus on microscopy.

Example Order Book Imbalance Algorithm

Visualize your weekly schedule.

pprofile + matplotlib = Python program profiled as an awesome heatmap!

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Simple library to make working with STL files (and 3D objects in general) fast and easy.

C++ & Python User Interface Library

We can lock and unlock our Ubuntu system using face recognition(currently only on Ubuntu).

The interface between FastJet and NumPy

NodeJS plotting library for JavaScript and TypeScript. On top of plotly.js. Inspired by matplotlib.

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

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

Some useful extensions for NumPy

Plotting for Julia based on matplotlib.pyplot

This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en

Fast NumPy array functions written in C

PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com

matplotlib extension for vaporwave aesthetics

Building Convolutional Neural Networks From Scratch using NumPy

Type System for Data Analysis in Python

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

🌈 Plot complex functions

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

仅使用numpy从头开始实现神经网络,包括反向传播公式推导过程; numpy构建全连接层、卷积层、池化层、Flatten层；以及图像分类案例及精调网络案例等,持续更新中... ...

Documentation:

JUN - python pandas, plotly, seaborn support & dataframes manipulation over erlang