dago0's repositories

Single-Index-Frechet-Regression

Julia codes for the implementation of Single Index Frechet regression by Bhattacharjee and Mueller 2023

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awesome-shell

A curated list of awesome command-line frameworks, toolkits, guides and gizmos. Inspired by awesome-php.

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bash-guide

A guide to learn bash

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Bayesball

Bayesball: Bayesian analysis of batting average

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BayesByHypernet

Code for the paper Implicit Weight Uncertainty in Neural Networks

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cifar-10-cnn

Learn deep learning with CIFAR datasets

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conformal

Tools for conformal inference in regression

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cosx.org

统计之都主站

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data-science-ipython-notebooks

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.

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HKO-7

Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"

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imylu

Pure Python implementation of machine learning algorithms

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JSE

code for James-Stein for the Leading Eigenvector

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learn-GAN

share the codes I write during I learn GAN

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MachineLearning

Machine Learning in Action(机器学习实战)

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map

map

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matplotlib-tutorial

Matplotlib tutorial for beginner

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ML-From-Scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

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numpy-100

100 numpy exercises (100% complete)

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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python3-cookbook

《Python Cookbook》 3rd Edition Translation

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

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pyvarinf

Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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sliced

sliced: scikit-learn compatible sufficient dimension reduction

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test

Toy codes

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the-art-of-command-line

Master the command line, in one page

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the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

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weight_uncertainty

PROJECT UNDER DEVELOPMENT!

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