7406 Open source projects that are alternatives of or similar to Deeplearning_cv_notes

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

notebooks with example for machine learning examples

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

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

Alpine Container for Machine Learning

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

공공데이터 분석

📚 Various cheatsheets in PDF

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Final Project of the Udacity AI Programming with Python Nanodegree

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

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Association Rule Mining from Spatial Data for Crime Analysis

For extensive instructor led learning

A Python implementation of Sky Region Detection in a Single Image for Autonomous Ground Robot Navigation (Shen and Wang, 2013)

Kaggle Struggle

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Finger Detection and Tracking using OpenCV and Python

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

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

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Code for polyaxon tutorials and examples

Python notes in Turkish.

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Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

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Docker Start Guide with Python Development Environment

This repository consists of all my Machine Learning Projects.

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

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.

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

Achieve your marketing goals with the data analytics power of Python

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。

Automated Testing for Set-Top Boxes and Smart TVs

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

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Performance analysis of predictive (alpha) stock factors

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How to build RNNs and LSTMs from scratch with NumPy.

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Anomaly detection tutorial on univariate time series with an auto-encoder

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numsca is numpy for scala

Repository to store sample python programs for python learning

QuantumBlack Matplotlib styles

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

Face mask detection system using Deep learning.

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An open access book on scientific visualization using python and matplotlib

Functionalities in Excel translated to Python