There are 159 repositories under scipy topic.
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.
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Open Machine Learning Course
Python实用教程,包括:Python基础,Python高级特性,面向对象编程,多线程,数据库,数据科学,Flask,爬虫开发教程。
🎚️ Open Source Audio Matching and Mastering
Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.
Human-detection-and-Tracking
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, and C, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐
Overview of the peaks dectection algorithms available in Python
A series of Jupyter notebooks and python files which stream audio from a microphone using pyaudio, then processes it.
A complete docker package for django which is easy to understand and can be deployed anywhere(supports Data Science related libraries like numpy, scipy etc).
Gcc for termux with fortran scipy etc... Use apt for newest updates instructions in README.txt
中文版scipy-lecture-notes. 网站下线, 以离线HTML的形式继续更新, 见release.
a numpy-like fast vector module for micropython, circuitpython, and their derivatives
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
A workshop for scientific computing in Python. ( December 2017 )
Tutoriales de Python para el análisis de datos en el curso IE0405 - "Modelos Probabilísticos de Señales y Sistemas" de la Universidad de Costa Rica.
Remote heart rate detection through Eulerian magnification of face videos
fit piecewise linear data for a specified number of line segments
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
Tutorial Sessions for SciPy Con 2019
pure-Python HistFactory implementation with tensors and autodiff