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machinelearning
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statistics
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395 search results found
Scikit Learn
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57,160
scikitlearn: machine learning in Python
Machine Learning Tutorials
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13,851
machine learning and deep learning tutorials, articles and other resources
Virgilio
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13,515
Your new Mentor for Data Science ELearning.
Ydata Profiling
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12,277
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Imbalanced Learn
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6,680
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Smile
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5,833
Statistical Machine Intelligence & Learning Engine
Edward
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4,503
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Probability
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4,028
Probabilistic reasoning and statistical analysis in TensorFlow
Framework
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4,017
Machine learning, computer vision, statistics and general scientific computing for .NET
Datascience
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3,955
Curated list of Python resources for data science.
God Level Data Science Ml Full Stack
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3,384
A collection of scientific methods, processes, algorithms, and systems to build stories & models. Whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI
Statsforecast
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3,339
Lightning ⚡️ fast forecasting with statistical and econometric models.
Tablesaw
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3,328
Java dataframe and visualization library
Awesome Quant
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3,302
中国的Quant相关资源索引
Xlearn
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3,000
High performance, easytouse, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and fieldaware factorization machines (FFM) for Python and CLI interface.
Machine Learning With Python
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2,980
Practice and tutorialstyle notebooks covering wide variety of machine learning techniques
Stats
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2,753
A well tested and comprehensive Golang statistics library package with no dependencies.
Data Science Best Resources
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2,718
Carefully curated resource links for data science in one place
Sweetviz
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2,687
Visualize and compare datasets, target values and associations, with one line of code.
Mne Python
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2,449
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Data Science Roadmap
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2,445
Data Science Roadmap from A to Z
Data Science Question Answer
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2,389
A repo for data science related questions and answers
Root
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2,329
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Ml Foundations
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2,224
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Awesome Python Data Science
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2,126
Probably the best curated list of data science software in Python.
Hercules
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1,863
Gaining advanced insights from Git repository history.
Awesome_time_series_in_python
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1,811
This curated list contains python packages for time series analysis
Papers Literature Ml Dl Rl Ai
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1,798
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Mlj.jl
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1,690
A Julia machine learning framework
Mlr
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1,609
Machine Learning in R
Eiten
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1,557
Statistical and Algorithmic Investing Strategies for Everyone
Ml Videos
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1,416
A collection of video resources for machine learning
Pycm
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1,413
Multiclass confusion matrix library in Python
Hyperlearn
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1,387
22000x faster ML algos, 50% less memory usage, works on all hardware  new and old.
Imodels
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1,341
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearncompatible).
Hackermath
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1,339
Introduction to Statistics and Basics of Mathematics for Data Science  The Hacker's Way
Uncertainty Baselines
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1,324
Highquality implementations of standard and SOTA methods on a variety of tasks.
Cracking The Data Science Interview
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1,291
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Owl
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1,178
Owl  OCaml Scientific Computing @ https://ocaml.xyz
Geomstats
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1,113
Computations and statistics on manifolds with geometric structures.
Datumbox Framework
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1,089
Datumbox is an opensource Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.
Yt Channels Ds Ai Ml Cs
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1,084
A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
Grf
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934
Generalized Random Forests
Performance
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918
💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Teaching
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802
Teaching Materials for Dr. Waleed A. Yousef
Statswithjuliabook
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760
Edward2
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656
A simple probabilistic programming language.
Ai_all_resources
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647
A curated list of Best Artificial Intelligence Resources
Dataframe Go
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642
DataFrames for Go: For statistics, machinelearning, and data manipulation/exploration
Pyriemann
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606
Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python
Rustquant
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537
Rust library for quantitative finance.
Raft
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530
RAFT contains fundamental widelyused algorithms and primitives for machine learning and information retrieval. The algorithms are CUDAaccelerated and form building blocks for more easily writing high performance applications.
Csinva.github.io
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515
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
Machine_learning_and_deep_learning
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492
Stats Maths With Python
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492
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Facet
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483
Humanexplainable AI.
Sportsipy
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468
A free sports API written for python
Tick
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453
Module for statistical learning, with a particular emphasis on timedependent modelling
Armadillo Code
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439
Armadillo: fast C++ library for linear algebra & scientific computing  https://arma.sourceforge.net
R_tips
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428
A repository of R usage tips for data cleaning, data mining, data visualisation, statistical inference and machine learning
Machine_learning_tutorials
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421
Code, exercises and tutorials of my personal blog ! 📝
Mlinterview
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419
:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
Basic Mathematics For Machine Learning
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418
The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI
Interactive Machine Learning List
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414
A collaborative list of interactive Machine Learning, Deep Learning and Statistics websites
Awesome Data Science Resoruces
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397
A curated list of data science educational resources for essential data science skills
Data Science Learning
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395
Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.
Michael S Data Science Curriculum
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381
This is the companion curriculum to my guide to becoming a data scientist.
Trident Ml
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380
TridentML : A realtime online machine learning library
Measuretheory.jl
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377
"Distributions" that might not add to one.
Doubleml For Py
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365
DoubleML  Double Machine Learning in Python
Mlnotes
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360
Very concise notes on machine learning and statistics.
Statistic Learning R Note
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321
📒《统计学习方法李航》学习笔记 200 页 PDF，各种手推公式细节讲解，包含详细的目录以及R语言代码实现，可结合《统计学习方法》提高学习效率，
The Elements Of Statistical Learning
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317
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Machinelearning Deeplearning Code For My Youtube Channel
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311
The full collection of all codes for my Youtube Channel segregated as per topic.
Best Data Science Resources
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282
This repository contains the best Data Science free handpicked resources to equip you with all the industrydriven skills and interview preparation kit.
Cosx.org
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257
统计之都主站
Machine Learning Curriculum
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248
Complete path for a beginner to become a Machine Learning Scientist!
Pycroscopy
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241
Scientific analysis of nanoscale materials imaging data
Ciencia_datos
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237
El curso en español, de acceso abierto y gratuito más grande del mundo sobre Ciencia de Datos en salud.
Data Science Free
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236
Free Resources For Data Science created by Shubham Kumar
Time Series Machine Learning
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220
Machine learning models for time series analysis
Ml Feynman Experience
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213
A collection of analytics methods implemented with Python on Google Colab
Ml Capsule
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207
MLcapsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different realworld projects and become Interview ready.
Ee Outliers
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204
Opensource framework to detect outliers in Elasticsearch events
Looper
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201
A resource list for causality in statistics, data science and physics
120 Ds Interview Questions
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199
My Answer to 120 Data Science Interview Questions
Deeplearning Notes
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194
Notes for Deep Learning Specialization Courses led by Andrew Ng.
Uci Ml Api
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189
Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)
Bat.jl
⭐
185
A Bayesian Analysis Toolkit in Julia
Data Science Toolkit
⭐
185
Collection of stats, modeling, and data science tools in Python and R.
Msmarco
⭐
183
Utilities, Baselines, Statistics and Descriptions Related to the MSMARCO DATASET
Observations
⭐
182
Tools for loading standard data sets in machine learning
Whylogs Java
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179
Profile and monitor your ML data pipeline endtoend
Data Science Live Book
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177
An open source book to learn data science, data analysis and machine learning, suitable for all ages!
Python For Probability Statistics And Machine Learning 2e
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172
Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
Aulas
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167
Aulas da Escola de Inteligência Artificial de São Paulo
Numerix
⭐
162
A collection of useful mathematical functions in Elixir with a slant towards statistics, linear algebra and machine learning
Machine Learning
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161
This repository contains implementations of all Machine Learning Algorithms from scratch in Python. Mathematics required for ML and many projects have also been included.
Conformal_classification
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159
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
Data Scientist Books
⭐
158
DataScientistBooks (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)
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