The Top 855 Machine Learning Numpy Open Source Projects on Github

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The Top 855 Machine Learning Numpy Open Source Projects on Github

Categories > Machine Learning > Machine Learning

Categories > Mathematics > Numpy

Pytorch ⭐ 52,348

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Data Science Ipython Notebooks ⭐ 21,791

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.

Cheatsheets Ai ⭐ 13,281

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

Datasets ⭐ 11,387

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

Tutorials ⭐ 8,562

机器学习相关教程

Mlcourse.ai ⭐ 7,876

Open Machine Learning Course

Tensorboardx ⭐ 7,163

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

Trax — Deep Learning with Clear Code and Speed

Chainer ⭐ 5,576

A flexible framework of neural networks for deep learning

Megengine ⭐ 4,059

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

Ai Learn ⭐ 3,947

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Orange3 ⭐ 3,101

🍊 📊 💡 Orange: Interactive data analysis

Datasets ⭐ 3,066

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

Gluon Nlp ⭐ 2,334

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Machine Learning With Python ⭐ 2,139

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

Learn Machine Learning In Two Months ⭐ 1,633

Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.

Tensorly ⭐ 1,122

TensorLy: Tensor Learning in Python.

Data Science Complete Tutorial ⭐ 1,084

For extensive instructor led learning

Machine Learning Experiments ⭐ 1,009

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

Numsharp ⭐ 962

High Performance Computation for N-D Tensors in .NET, similar API to NumPy.

Machinelearning ⭐ 943

Machine learning algorithms implemented by pure numpy

Machine_learning_refined ⭐ 834

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Python audio and music signal processing library

Geneticalgorithmpython ⭐ 680

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

Ml Foundations ⭐ 661

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

Numba extension for compiling Pandas data frames, Intel® Scalable Dataframe Compiler

Stats Maths With Python ⭐ 492

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

Pandapy ⭐ 483

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

Awesome Jax ⭐ 448

JAX - A curated list of resources https://github.com/google/jax

Deep Learning Wizard ⭐ 441

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

Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing

Workshopscipy ⭐ 396

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

Jetson Containers ⭐ 392

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.

Andrew Ng Notes ⭐ 360

This is Andrew NG Coursera Handwritten Notes.

Carefree Learn ⭐ 354

Deep Learning ❤️ PyTorch

This repository helps you understand python from the scratch.

Pytorch Tutorials Examples And Books ⭐ 316

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

Thesemicolon ⭐ 312

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Data Science Hacks ⭐ 300

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.

Bootcamp_python ⭐ 261

Bootcamp to learn Python for Machine Learning

Pyfasttext ⭐ 229

Yet another Python binding for fastText

Ml Feynman Experience ⭐ 213

A collection of analytics methods implemented with Python on Google Colab

Introduction_to_ml_with_python ⭐ 198

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

Grokking Deep Reinforcement Learning

Functional tensors for probabilistic programming

A tool library of classical machine learning algorithms with only numpy.

Data Science Notebook ⭐ 176

📖 每一个伟大的思想和行动都有一个微不足道的开始

Ditching Excel For Python ⭐ 175

Functionalities in Excel translated to Python

Machine Learning Projects ⭐ 163

This repository consists of all my Machine Learning Projects.

Color_recognition ⭐ 148

Color Recognition on a Webcam Stream / on Video / on a Single Image using K-Nearest Neighbors (KNN) is Trained with Color Histogram Features.

The templated deep learning framework, enabling framework-agnostic functions, layers and libraries.

Get Started With Jax ⭐ 139

The purpose of this repo is to make it easy to get started with JAX. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning JAX.

Tiny_ml ⭐ 137

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

Support Tickets Classification ⭐ 128

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

Color Tracker ⭐ 122

Color tracking with OpenCV

Ml Cheatsheet ⭐ 115

A constantly updated python machine learning cheatsheet

Stock Price Predictor ⭐ 107

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Pysurvival ⭐ 102

Open source package for Survival Analysis modeling

30 Days Of Ml Kaggle ⭐ 93

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

Pymc Example Project ⭐ 87

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

经典机器学习算法的极简实现

Docker Alpine Python Machinelearning ⭐ 75

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

Flatiron School Data Science Curriculum Resources ⭐ 75

Lesson material on data science and machine learning topics/concepts

Docker Python Deep Learning ⭐ 74

A container for Deep Learning with Python 3

Credit Risk Modelling ⭐ 71

Credit Risk analysis by using Python and ML

Data Science Notebooks ⭐ 70

Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis and visualization.

irwin - the protector of lichess from all chess players villainous

Data Analysis Science ⭐ 68

The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run this collections either in Jupyter notebook or python alone.

Numpyann ⭐ 67

Implementation of Artificial Neural Networks using NumPy

Ml From Scratch ⭐ 64

ML From Scratch

Netflix Style Recommender ⭐ 64

A simple movie recommendation engine

A series of challenges for practicing your Machine Learning and Deep Learning skills

Awesome Ebooks ⭐ 59

收录开源的经典技术书籍 PDF 文件及相关网站，持续更新中...

An unofficial implementation of asm2vec as a standalone python package

Mlfundamentals ⭐ 56

Notebooks for the "ML from the Fundamentals" series

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

🔬 Scientific computing library for optics 🔭, computer graphics 💻 and visual perception 👀

Python Machine Learning Book 2nd Edition ⭐ 54

<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소

Python_cv_ai_ml ⭐ 54

用python做计算机视觉，人工智能，机器学习，深度学习等

Machine Learning In Python Workshop ⭐ 54

My workshop on machine learning using python language to implement different algorithms

Numpy Convnet ⭐ 52

A small and pure Numpy Convolutional Neural Network library.

One_cycle_policy ⭐ 52

Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)

Puzzlelib ⭐ 49

Deep Learning framework with NVIDIA & AMD support

25daysinmachinelearning ⭐ 48

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

Santiment API Python Client

Machine Learning ⭐ 44

notebooks with example for machine learning examples

Deeplearning ⭐ 40

ART.T458: "Machine Learning" in Tokyo Institute of Technology

Mnist For Numpy ⭐ 39

A simple, easy to use MNIST loader written in Python 3

Soomvaar ⭐ 39

Soomvaar is the repo which 🏩 contains different collection of 👨‍💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥

A library to interface molecules and machine learning.

Dip In Python ⭐ 36

Play around with Pixel in Python

Cracking Kaggle Competitions ⭐ 36

Different approaches for different Classical Machine Learning, and NLP competitions from Kaggle.

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

Deep learning library in python from scratch

Python Course ⭐ 33

Python Basics, Machine Learning and Deep Learning

Machinelearningcourse ⭐ 33

A collection of notebooks of my Machine Learning class written in python 3

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