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probability
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88 search results found
Deep Learning Drizzle
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10,767
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
From 0 To Research Scientist Resources Guide
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6,443
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Probability
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4,028
Probabilistic reasoning and statistical analysis in TensorFlow
Awesome Conformal Prediction
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3,097
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Data Science Roadmap
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2,445
Data Science Roadmap from A to Z
Ml Foundations
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2,224
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Www.mlcompendium.com
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2,020
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing project compiled using Gitbook.
Data Science Interview Resources
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1,926
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Nlp Roadmap
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1,618
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
Interactive_tools
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1,594
Interactive Tools for Machine Learning, Deep Learning and Math
Hackermath
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1,339
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
Teaching
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802
Teaching Materials for Dr. Waleed A. Yousef
Ctcdecode
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777
PyTorch CTC Decoder bindings
Statswithjuliabook
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760
Causalml
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665
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
Convchain
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637
Bitmap generation from a single example with convolutions and MCMC
Stats Maths With Python
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492
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Tsetlinmachine
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421
Code and datasets for the Tsetlin Machine
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
Probnum
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407
Probabilistic Numerics in Python.
Measuretheory.jl
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377
"Distributions" that might not add to one.
Crackingmachinelearninginterview
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328
A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews
Pynomaly
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295
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
Cellrank
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279
CellRank: dynamics from multi-view single-cell data
Java Naive Bayes Classifier
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278
A java classifier based on the naive Bayes approach complete with Maven support and a runnable example.
Awesome Maths Learning
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269
😎 📜 Collection of the most awesome Maths learning resources in the form of notes, videos and cheatsheets.
Pyfasttext
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229
Yet another Python binding for fastText
Deeplearningwithtf2.0
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227
Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book
Awesomemlmath
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212
Curated list to learn the math basics for machine learning
Lm Scorer
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206
📃Language Model based sentences scoring library
Datascience_interview_questions
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181
My Solutions to 120 commonly asked data science interview questions.
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
Data Scientist Books
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158
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)
Machine Learning Imbalanced Data
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141
Code repository for the online course Machine Learning with Imbalanced Data
Introspective
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136
Repo for the ML_Insights python package
Awesome Machine Learning Deep Learning Mathematics
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110
A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning
Probflow
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108
A Python package for building Bayesian models with TensorFlow or PyTorch
Gpnd
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106
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Quant Notes
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101
Quantitative Interview Preparation Guide, updated version here ==>
Quant Finance Resources
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95
Courses, Articles and many more which can help beginners or professionals.
Probability
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83
Applied Probability Theory for Everyone
100days Ml Code
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81
100天机器学习 (翻译+ 实操)
Data Science Notes
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75
Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)
Pylearn
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72
Bayesian machine learning in Python
Online Category Learning
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56
ML algorithm for real-time classification
Math For Machinelearning
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52
A repository containing essential math courses for machine learning aspirants!
Ai Math Roadmap
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49
Your no-nonsense guide to the Math used in Artificial Intelligence
Datascience365
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47
DataScience365
Mathematics For Machine Learning And Data Science Specialization Coursera
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42
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Probabilistic Circuits
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38
A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
Python Machine Learning
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37
Python Machine Learning Algorithms
Data Science And Machine Learning Resources
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37
List of Data Science and Machine Learning Resource that I frequently use
Mlblog
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33
Source code for the tutorial series at http://www.thoughtly.co/blog/prototype
Mathematics_for_machine_learning
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32
Learn the mathematics behind machine learning and explore various mathematical concepts within machine learning.
Yolo_v3_from_scratch_colab
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29
Implementing YOLOV3 on google colab
Data Science Prep
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28
Problems from https://datascienceprep.com/
Mnist_by_zip
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28
Compression algorithms (like the well-known zip file compression) can be used for machine learning purposes, specifically for classifying hand-written digits (MNIST)
Confidentlearning Reproduce
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26
Official data release to reproduce Confident Learning paper results
Mathematics For Machine Learning And Data Science Specialization
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25
Non-credit online course by DeepLearning.AI
Hmm
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24
A Hidden Markov Model implemented in Javascript
Nflplayprediction
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24
Based on NFL game data, we want to predict the success of a play. This can be used to insert different strategies before the play is called to determine the success probability.
Easy Factor Graph
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24
General purpose C++ library for managing discrete factor graphs
Review
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23
🌎 Review materials for bioinformatics, computational biology, and science in general
Ml
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18
Foundations of Machine Learning Course Materials.
Tech Blog Fastapi Demo
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18
sample code for tech blog post "Porting Flask to FastAPI for ML Model Serving"
Aipw
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17
R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect
Data Scientist In Python
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15
This repository contains notes and projects of Data scientist track from dataquest course work.
Freq E
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14
Class frequency estimation software package
Calibrationerrors.jl
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13
Estimation of calibration errors.
Data Science
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13
A repository to showcase the upskilling of self in theoretical & applied aspects of data science during the ongoing sabbatical of 23 months(Jan. 2022 - Nov 2023*) along with hand written notes. It's an "attempt" to pursue masters in data science using Internet as an open university.
Simple Hohmm
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13
High Order Hidden Markov Model for accurate sequence classification.
Mimic
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13
mimic calibration
Dataquest
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12
Data Science Massive Open Online Course: All the code, notes and supplementary materials generated during the course of my data scientific learning.
Hackerrank Artificial Intelligence
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11
This repository contains the challenges about domains of Artificial Intelligence.
100 Days Of Data Science
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11
100 days of Data Science Journey.
Probability Calibration Imbalanced
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11
This repository implements Pozzolo, et al., (2015)'s probability calibration for imbalanced data.
Rbm Tensorflow
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11
Tensorflow Implementation of RBM
Char2vec
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10
Training from scratch a character embedding following Word2Vec, using tensorflow.
Data Science Interview Prep
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9
This is a completely open-source repo of interview questions and answers for people preparing for such interviews. This is maintained by you and you can send the questions that you faced during interviews.
In Depth Ml
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9
In depth machine learning resources
Cml_amp_churn_prediction
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9
Build an scikit-learn model to predict churn using customer telco data.
Spherical_kde
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9
Kernel density estimation on a sphere
Random Stuff
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9
Random stuff I've been working on
Coronavirus Probability Checker
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9
It is a Probability Checker for COVID-19 , people can input values and symptoms and accr. to the data , patient will get the probability of +ve COVID-19.
Prinumco
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8
Algorithmically generating Bengali digits and classification using MobileNetV2 for Bangladeshi license plate detection
Data Science Notes
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8
Data Science Learning Notes
Mlengineersummary
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8
Everything a Machine Learning Engineer needs to know, from statistics, probability theory, ML, DL and AI.
Osraae
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8
Open-set Recognition with Adversarial Autoencoders
Fake Data For Learning
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7
Sample interesting fake data for machine and human learning
Decision Rules
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7
Datascience_handbook
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7
A quick guide to Data Science, DBMS, and AWS concepts
Summer Of Ml 2021
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7
Resource Repository for AIMLC's Summer of ML 2021
Formal Ml
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7
Language_model_tf
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6
Language Model in Tensorflow
Ml Resources
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6
Yet another list of ML resources
Crisprcasidentifier
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5
Machine learning for accurate identification and classification of CRISPR-Cas systems
Coreference Resolution
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5
Neural Coreference Resolution
Poker Ai
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5
Several agents that can play poker (using Deep CFR, probability, monte carlo, etc.) and clustering to get the types of poker players.
Moon Grahams
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5
A bayesion analyzer for lua
Machine Learning Python Bootcamp
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5
Basic exercises on Machine Learning with Python , Reference Book : Python for Probability, Statistics, and Machine Learning by José Unpingco
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