5942 Open source projects that are alternatives of or similar to Statistical Learning Method

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

Source code for my personal blog

Credit card fraud detection through logistic regression, k-means, and deep learning.

Advanced Scikit-learn training session

Materials for following along with Hands-On Data Analysis with Pandas.

See https://meta.wikimedia.org/wiki/Research:Modeling_Talk_Page_Abuse

Tutorials and implementations for "Self-normalizing networks"

Build, train & debug, and deploy & monitor with Amazon SageMaker

Source code in ebook Machine Learning

Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH

Statistical Rethinking with PyTorch and Pyro

Curated Notebooks from STScI

IPython magics for generating figures with TikZ

瑞金医院MMC人工智能辅助构建知识图谱大赛初赛

Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.

Theseus is a Python library for cohort analysis

Python机器学习，机器学习入门首选。

Data Analysis and Visualization in Python for Ecologists

pandas cheetsheet

Methods of data exploration and visualization using Python.

Github开源项目hyperopt系列的中文文档,以及学习教程等

Solving the fundamentals of algorithms using Python

Samples for Azure Synapse Analytics

Python client for Batfish: https://github.com/batfish/batfish

Материалы курса "Глубинное обучение", ФКН ВШЭ, бакалаврская программа ПМИ

The art of effective visualization of multi-dimensional data

julia version of 100 numpy exercises

Course: Deep Learning

Adaptive Neural Trees

A neural attention model for speech command recognition

python implementations of Analyzing Neural Time Series Textbook

Some experiments with object detection in PyTorch

Predicts real-time bitcoin price using twitter and reddit sentiment, and sends out notifications via SMS.

In this notebook, we will build an abstractive based text summarizer using deep learning from the scratch in python using keras

A collection of non-residential buildings for performance analysis and algorithm benchmarking

2020年全国水下机器人（湛江）大赛

PyTorch library for "Neural Painters: A learned differentiable constraint for generating brushstroke paintings"

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

A set of notebooks for an introduction to Python for Mathematicians.

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Demo notebooks inside a docker for end-to-end examples

Dstl Satellite Imagery Feature Detection

PyTorch implementation of GOTURN object tracker: Learning to Track at 100 FPS with Deep Regression Networks (ECCV 2016)

Data, tools, and documentation of the Fusion 360 Gallery Dataset

kaggle Dog Breed Identification

A Jupyter notebook I use to analyze my crypto portfolio.

Kaggle Data Science Bowl 2018

⚛ 10 week Practical Course on Quantum Information Science and Quantum Computing - with Qiskit and IBMQX

S3FD: single shot face detector in pytorch

State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.

Resources for a 3.5 hour workshop on machine learning using the MLJ toolbox

Algorithmic Trading using Sentiment Analysis on News Articles

Hands-On Recommendation Systems with Python published by Packt

Python implementation of TextRank for phrase extraction and summarization of text documents

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

SageMaker Course Material