1079 Open source projects that are alternatives of or similar to Ml Feynman Experience

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.

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

pure-Python HistFactory implementation with tensors and autodiff

The Python Toolbox for Robotics

An explicit Python PV system IV & PV curve trace calculator which can also calculate mismatch.

Scientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.

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

These are python notebooks accompanying Lessons available at GeostatisticsLessons.com

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

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

Remote heart rate detection through Eulerian magnification of face videos

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

Skin export / import tools for Autodesk Maya

demonstrating use of convolution neural networks to detect objects in a video

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

Kai Sheng Teh - Udacity Data Analyst Nanodegree

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

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

Course taught at the University of Bordeaux in the academic year 2017 for PhD students.

100 numpy exercises (with solutions)

A c++ header library for matrix operation inspired Numpy Scipy, MATLAB only using Eigen.

Numerical & Scientific Computing with Python Tutorial

A Python module for time-frequency analysis

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

Credit Risk analysis by using Python and ML

NumPy based Python module for reading TDMS files produced by LabView

🍊 📊 💡 Orange: Interactive data analysis

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

📖 每一个伟大的思想和行动都有一个微不足道的开始

fit piecewise linear data for a specified number of line segments

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

Audio fingerprinting and recognition

Geometric operations on polytopes of any dimension

Data science teaching materials

Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Explorando aspectos fundamentais da matemática com Python e Jupyter

Fast zero-overhead bindings between NumPy and Eigen

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI

🎚️ Open Source Audio Matching and Mastering

A constantly updated python machine learning cheatsheet

Human-detection-and-Tracking

Python audio and music signal processing library

Open Machine Learning Course

中文 Python 笔记

Parallel computing with task scheduling

I will update this repository to learn Machine learning with python with statistics content and materials

A two-way connector to use regular Python from IronPython in Rhino/Grasshopper, and vice-versa.

NumPy & SciPy for GPU

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.

numba_scipy extends Numba to make it aware of SciPy

a numpy-like fast vector module for micropython, circuitpython, and their derivatives

Combining Psi4 and Numpy for education and development.

Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go

Open source note-taking application for Android

Automatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX

The foundational library of the Morpheus data science framework

Rust numeric library with R, MATLAB & Python syntax

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).