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A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Created
2015-01-27
193 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
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
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 4 months 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 10 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 4 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 7 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 7 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 5 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
410 commits to development branch, last one 2 days 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 6 months 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
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
Created
2015-04-12
200 commits to master branch, last one 7 hours ago
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
Created
2024-03-22
230 commits to master branch, last one 13 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
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 6 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 about a month 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 about a year 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 4 years ago
Materials to support learning with my YouTube channel, https://www.youtube.com/c/EquitableEquations.
Created
2022-08-19
258 commits to main branch, last one 15 days ago
Website sources for Applied Machine Learning for Tabular Data
Created
2023-11-20
96 commits to main branch, last one 8 days ago
Fixed Income Analytics, Portfolio Construction Analytics, Transaction Cost Analytics, Counter Party Analytics, Asset Backed Analytics
Created
2017-08-31
2,197 commits to master branch, last one 10 days ago
Solutions to "An Introduction to Statistical Learning with Applications in R second edition"
Created
2022-10-12
94 commits to main branch, last one 27 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 8 months ago