HCY's repositories
100-Days-Of-ML-Code
100 Days of ML Coding
1806
18.06 course at MIT
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
awesome-math
A curated list of awesome mathematics resources
cs229t
Statistical Learning Theory (CS229T) Lecture Notes
datascience
A Python library for introductory data science
digital-signal-processing-lecture
Lecture notes for a masters course on Digital Signal Processing
gosl
Go scientific library for machine learning, linear algebra, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, graph, plotting, visualisation, tensors, eigenvalues, differential equations, more.
ITU-Rpy
A python implementation of the ITU-R P. Recommendations
learn_math_fast
This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube
lifelines
Survival analysis in Python
linear-programming
interior point method for linear programming
LocalizationTDOA
TDOA localization Python implementation.
Machine-Learning-Curriculum
Complete path for a beginner to become a Machine Learning Scientist!
Machine-Learning-Notebooks
Machine Learning notebooks for refreshing concepts.
machine-learning-yearning-cn
吴恩达《Machine Learning Yearning》的中英文版（更新中）：第1~第22章
math
MIT-18.06-线性代数-完整笔记
MathsDL-spring18
Topics course Mathematics of Deep Learning, NYU, Spring 18
mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
practicalAI
A practical approach to learning machine learning.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pykalman
Kalman Filter, Smoother, and EM Algorithm for Python
python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
scos-sensor
NTIA/ITS Spectrum Monitoring SCOS sensor reference implementation
TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
textbook
The textbook Computational and Inferential Thinking: The Foundations of Data Science
typora-theme-gallery
Website for Typora themes