#Scipy
Showing 60 of 86 repositories tagged #scipy, ranked by stars
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
SciPy library main repository
Parallel computing with task scheduling
NumPy & SciPy for GPU
Open Machine Learning Course
Python library for audio and music analysis
Efficiently computes derivatives of NumPy code.
中文 Python 笔记
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
🎚️ Open Source Audio Matching and Mastering
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。
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
Python audio and music signal processing library
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Human-detection-and-Tracking
Overview of the peaks dectection algorithms available in Python
A friend to fetch your data files
Processing and gridding spatial data, machine-learning style
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).
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
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
SciRS2 - Scientific Computing and AI in Rust., providing SciPy-compatible APIs while leveraging Rust's performance, safety, and concurrency features. Unlike traditional scientific libraries
This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.
数据分析，挖掘建模。
Credit Risk analysis by using Python and ML
A constantly updated python machine learning cheatsheet
Algorithmic trading using machine learning.
"Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.
Scikit-Criteria is a collection of Multiple-criteria decision analysis (MCDA) methods integrated into scientific python stack. Is Open source and commercially usable.
Chaotic attractors with python (Lorenz, Rossler, Rikitake etc.)
Open-source Platform for Scientific and Technical Data Processing and Visualization
Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.
A set of scripts implementing popular reverberation audio effect algorithms.
Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication
Official type stubs for SciPy
Minimalist Data Wrangling with Python (Open-Access Textbook)
Data Science + ML Cheat Sheet collection by me
Fourier and Images
splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.
IBM Data Science Professional Certificate
Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/
<혼자 공부하는 데이터 분석 with 파이썬>의 코드 저장소
本项目以应用为主出发，结合了从基础的机器学习、深度学习到目标检测以及目前最新的大模型，采用目前成熟的 第三方库、开源预训练模型以及相关论文的最新技术，目的是记录学习的过程同时也进行分享以供更多人可以直接进行使用。
Solutions and workflow for the Bayesian Statistics The Fun Way book in Python
High-level API for attractive and descriptive image visualization in Python
Nested Sampling post-processing and plotting
Numerical & Scientific Computing with Python Tutorial
Some python workbooks with various topics from Computational Physics
Проекты курса Аналитик данных (Яндекс.Практикум)
Explorando aspectos fundamentais da matemática com Python e Jupyter
I have been deeply interested in algorithmic trading and systematic trading algorithms. This Repository contains the code of what I have learnt on the way. It starts form some basic simple statistics and will lead up to complex machine learning algorithms.
Power up your data science workflow with ChatGPT.
Stereo-image depth reconstruction with different matching costs and matching algorithms in Python using Numpy and Numba
Sharing the solved Exercises & Project of Statistics for Data Science using Python course on Coursera by Ankit Gupta
A car safety technology that can auto-detect driver drowsiness in real-time. This system can prevent road accidents that are caused by drivers who fell asleep while driving.