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A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Created
2015-01-27
192 commits to master branch, last one about a month ago
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Created
2015-06-14
220 commits to master branch, last one 2 years ago
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Created
2019-01-13
376 commits to master branch, last one 2 years ago
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Created
2016-09-30
1,862 commits to master branch, last one 3 months ago
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Created
2018-01-16
310 commits to master branch, last one 3 years ago
A collection of research papers on decision, classification and regression trees with implementations.
cart
xgboost
catboost
lightgbm
classifier
decision-tree
random-forest
tree-ensemble
regression-tree
machine-learning
ensemble-learning
gradient-boosting
decision-tree-model
classification-model
classification-trees
statistical-learning
decision-tree-learning
decision-tree-classifier
gradient-boosting-machine
machine-learning-research
Created
2019-05-11
281 commits to master branch, last one 9 months ago
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
Created
2020-06-13
107 commits to master branch, last one 2 months ago
《统计学习方法》笔记-基于Python算法实现
Created
2017-12-28
17 commits to master branch, last one 6 years ago
Teaching Materials for Dr. Waleed A. Yousef
statistics
mathematics
probability
programming
data-science
logic-design
optimization
digital-design
linear-algebra
data-structures
computer-science
image-processing
machine-learning
data-visualization
statistical-models
pattern-recognition
discrete-mathematics
statistical-learning
analysis-of-algorithms
Created
2019-01-06
28 commits to master branch, last one 6 months ago
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
Created
2019-01-23
225 commits to master branch, last one 4 years ago
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
Created
2016-02-24
63 commits to master branch, last one 2 years ago
A comprehensive library for machine learning and numerical computing. The library provides a set of tools for linear algebra, numerical computing, optimization, and enables a generic, powerful yet sti...
Created
2019-05-08
407 commits to development branch, last one 26 days ago
Machine Learning library for the web and Node.
Created
2018-04-29
805 commits to master branch, last one 5 years ago
An Introduction to Statistical Learning with Applications in PYTHON
Created
2016-12-07
112 commits to master branch, last one 3 years ago
My book list
sql
book
android
reading
algorithms
data-mining
data-science
reading-list
deep-learning
computer-vision
data-structures
design-patterns
database-systems
machine-learning
corpus-linguistics
computer-networking
discrete-mathematics
statistical-learning
artificial-intelligence
natural-language-processing
Created
2017-09-21
139 commits to master branch, last one 5 months ago
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
Created
2015-04-12
189 commits to master branch, last one 8 days ago
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Created
2018-04-18
119 commits to master branch, last one 2 years ago
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
Created
2024-03-22
217 commits to master branch, last one 2 days ago
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Created
2018-10-31
56 commits to master branch, last one 5 months ago
Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels
Created
2020-06-24
131 commits to master branch, last one about a year ago
TAPAS - Translational Algorithms for Psychiatry-Advancing Science
Created
2017-01-14
860 commits to master branch, last one 18 days ago
统计学习方法训练营课程作业及答案,视频笔记在线阅读地址:https://relph1119.github.io/statistical-learning-method-camp
Created
2019-01-29
74 commits to master branch, last one 4 years ago
This repository dives deeper than mere tactics. Here, you'll find a meticulously chosen selection of books, papers and courses which not only equip you with actionable knowledge but also illuminate th...
Created
2016-12-20
198 commits to master branch, last one 11 months ago
Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)
Created
2020-01-13
33 commits to master branch, last one 2 years ago
JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
Created
2017-02-12
17 commits to master branch, last one 3 years ago
Website sources for Applied Machine Learning for Tabular Data
Created
2023-11-20
92 commits to main branch, last one about a month ago
Materials to support learning with my YouTube channel, https://www.youtube.com/c/EquitableEquations.
Created
2022-08-19
254 commits to main branch, last one about a month ago
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
Created
2017-08-31
2,174 commits to master branch, last one 5 days ago
Solutions to "An Introduction to Statistical Learning with Applications in R second edition"
Created
2022-10-12
88 commits to main branch, last one 4 days ago
Resources for education in statistics and machine learning: from advanced undergraduate to research level
Created
2024-02-24
67 commits to main branch, last one 7 months ago