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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
probability
optimization
deep-learning
explainable-ai
computer-vision
medical-imaging
machine-learning
speech-recognition
visual-recognition
bayesian-statistics
pattern-recognition
deep-neural-networks
graph-neural-networks
reinforcement-learning
geometric-deep-learning
artificial-neural-networks
deep-reinforcement-learning
natural-language-processing
probabilistic-graphical-models
artificial-intelligence-algorithms
Created
2018-11-26
153 commits to master branch, last one 2 years ago
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Created
2021-03-16
101 commits to main branch, last one about a year ago
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Created
2020-04-18
485 commits to master branch, last one 2 months ago
Data Science Roadmap from A to Z
Created
2022-04-17
297 commits to main branch, last one a day ago
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; ...
Created
2016-04-03
3,366 commits to master branch, last one 2 months ago
:orange_book: The probability and statistics cookbook
Created
2012-04-23
129 commits to master branch, last one about a year ago
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 c...
Created
2021-08-09
397 commits to main branch, last one 8 days ago
The basic distribution probability Tutorial for Deep Learning Researchers
Created
2019-09-06
7 commits to master branch, last one 4 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 5 days ago
Self-study on Larry Wasserman's "All of Statistics"
Created
2020-03-02
236 commits to master branch, last one about a year ago
Algorithm is a library of tools that is used to create intelligent applications.
Created
2016-01-24
75 commits to development branch, last one 4 years ago
General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Created
2017-11-06
141 commits to master branch, last one 2 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 about a year ago
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
Created
2018-12-30
8 commits to master branch, last one 4 years ago
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
Created
2018-08-29
19 commits to master branch, last one about a year ago
A C++ header-only library of statistical distribution functions.
Created
2017-06-21
342 commits to master branch, last one about a year ago
Generate realizations of stochastic processes in python.
Created
2017-02-17
111 commits to master branch, last one about a year ago
Courses, Articles and many more which can help beginners or professionals.
Created
2019-08-12
85 commits to master branch, last one 2 years ago
"Distributions" that might not add to one.
Created
2020-01-11
367 commits to master branch, last one 10 months ago
156
336
unknown
5
Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Created
2023-05-27
32 commits to main branch, last one about a year ago
This repository holds slides and code for a full Bayesian statistics graduate course.
Created
2022-04-08
127 commits to main branch, last one 12 days ago
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and St...
Created
2022-01-20
15 commits to main branch, last one 7 months ago
Rust for data analysis encyclopedia (WIP).
Created
2023-04-21
81 commits to main branch, last one 6 months ago
Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].
Created
2017-05-19
156 commits to main branch, last one 8 months ago
Python code snippets from Discrete Mathematics for Computer Science specialization at Coursera
Created
2020-07-03
54 commits to master branch, last one 5 months ago
📃Language Model based sentences scoring library
Created
2020-04-06
78 commits to master branch, last one 4 years ago
Normalizing flows in PyTorch
Created
2022-10-11
113 commits to master branch, last one 3 days ago
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
Created
2017-12-01
2,529 commits to master branch, last one 7 months ago
Curated list of notes, books and other resources for the student of Nepal College of Information and Technology(NCIT) - Pokhara University, Nepal
Created
2018-05-21
644 commits to master branch, last one 2 months ago
My Solutions to 120 commonly asked data science interview questions.
Created
2021-09-21
37 commits to main branch, last one about a year ago