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65 search results found
Data Science Ipython Notebooks
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25,668
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
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13,281
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat
Mlcourse.ai
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9,376
Open Machine Learning Course
Orange3
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4,469
🍊 📊 💡 Orange: Interactive data analysis
Scikit Optimize
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2,700
Sequential model-based optimization with a `scipy.optimize` interface
Madmom
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1,151
Python audio and music signal processing library
Verde
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533
Processing and gridding spatial data, machine-learning style
Stats Maths With Python
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492
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Workshopscipy
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396
A workshop for scientific computing in Python. ( December 2017 )
Python Seminar
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310
Python for Data Science (Seminar Course at UC Berkeley; AY 250)
Scipy_con_2019
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266
Tutorial Sessions for SciPy Con 2019
Ml Feynman Experience
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213
A collection of analytics methods implemented with Python on Google Colab
Introduction_to_ml_with_python
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198
도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.
The Elements Of Statistical Learning Notebooks
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197
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
Ml Notebook
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164
Dockerfile for multiple machine learning tools.
Ml Cheatsheet
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149
A constantly updated python machine learning cheatsheet
Scipy 2017 Cython Tutorial
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103
Material for the SciPy 2017 Cython tutorial
Scikit Activeml
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101
Our package scikit-activeml is a Python library for active learning on top of SciPy and scikit-learn.
Docker Alpine Python Machinelearning
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78
Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-ma
Credit Risk Modelling
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71
Credit Risk analysis by using Python and ML
Datawranglingpy
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70
Minimalist Data Wrangling with Python (Open-Access Textbook)
Pydiogment
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68
📣 Python library for audio augmentation
Stock Prediction
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57
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.
K Means
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47
Code accompanying my blog post on k-means in Python, C++ and CUDA
Algorithmic Trading
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46
Algorithmic trading using machine learning.
Machinelearning
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44
机器学习教程,本教程包含基于numpy、sklearn与tensorflow机器学习,也会包含利用s
Isic Archive
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43
International Skin Imaging Collaboration: Melanoma Project
Feets
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41
feATURE eXTRACTOR FOR tIME sERIES
Ugtm
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29
ugtm: a Python package for Generative Topographic Mapping
Ml Andrewng Python
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28
This is the Python implementation of the programming assignments in Andrew Ng's online machine-learning course.
Python Data Science
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28
Lecture notes and materials for Python Data Science course
Wildboar
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27
wildboar is a Python module for temporal machine learning
Hg Da
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27
<혼자 공부하는 데이터 분석 with 파이썬>의 코드 저장소
Techloop Ml Plus
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25
Archives and Tasks for ML+ sessions
Kmedoids
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23
The Partitioning Around Medoids (PAM) implementation of the K-Medoids algorithm in Python [Unmaintained]
Spampy
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22
Spam filtering module with Machine Learning using SVM (Support Vector Machines).
Python Machine Learning Mini Course Zh Tw
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20
Python Machine Learning Mini-Course 繁體中文版
Arap
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18
as-rigid-as-possible (arap) maya deformer, in python
Compmethods
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18
"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 Image Processing
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17
Image processing examples with Numpy, Scipy, and Scikit-image
Youml
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17
YouML: A Machine Learning Toolkit
Resolutions 2019
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16
A list of data mining and machine learning papers that I implemented in 2019.
Python Signal Processing
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16
splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.
Workshops Setup_cloud_analytics_machine
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16
Tips and Tricks to setup a cloud machine for Analytics and Data Science with R, RStudio and Shiny Servers, Python and JupyterLab
Cursods_profdanilo
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14
Códigos Python com diferentes aplicações como técnicas de machine learning e deep learning, fundamentos de estatística, problemas de regressão de classificação. Os vídeos com as explicações teóricas estão disponíveis no meu canal do YouTube
Data Science Portfolio
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13
Repository containing portfolio of data science projects completed by me for academic, self learning, and hobby purposes. Presented in the form of iPython Notebooks, and Python files in corresponding modules .
Machine Learning
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13
Machine Learning algorithms Implementation from Scratch
Lambdipy
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12
A tool for building and packaging python packages for AWS Lambda.
Data Science Tutorials
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11
Tutorial on How To Use Python, Pandas, Seaborn, Numpy, Matplotlib, Scipy for Data Science.
Melanoma Detection
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11
A modular programming approach towards detecting/predicting Melanoma skin lesion using ImageProcessing and MachineLearning in Python.
Machine Learning
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11
Assignment Machine Learnig 🤖
Audio Spectrogram
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10
Generating sound spectrograms using short-time Fourier transform that can be used for purposes such as sound classification by machine learning algorithms.
Rotnist
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8
Rotated MNIST dataset
Nba Predictive Analytics
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7
Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.
Machine Learning
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7
Fundamentals & projects
Regularization_for_machine_learning
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6
Regularization for Machine Learning-RegML GUI
Image Augmentation In Action
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6
image augmentation in action for machine learning. (tensorflow, pytorch, mxnet, keras, albumentations, imgaug, Augmentor, mahotas, pilimage, scipy, skimage, ...)
Machine_learning_cheatsheets
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6
Neural_artistic_style_transfer
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6
Keras based Neural Style Transfer
A2c Acktr Vizdoom
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6
A2C, ACKTR and A2T implementations for ViZDoom
Python For Beginners
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6
Top 5 jobs after qualifying National Testing Agency UGC NET JRF in Computer Science and Engineering:
Datacamp Projects
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5
Data Camp Python Projects
Cricketprediction
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5
Building CricketPrediction model using Machine Learning
Python Ml Minimal
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5
Linear and logistic regression in Python with no dependencies on Scipy/Numpy.
Jax Spectral
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5
Short-time Fourier transform (STFT) for JAX
Anr_ml_docker
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5
This repository contains the necessary elements (code and artifacts) to build a Machine Learning container suitable to execute all the ML exercises of the AnR course.
Machine Learning Python Bootcamp
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5
Basic exercises on Machine Learning with Python , Reference Book : Python for Probability, Statistics, and Machine Learning by José Unpingco
Esnpy
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5
Out-of-the-box framework for Echo State Networks
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