100 Days of ML Coding
- machine-learning
- machine-learning-algorithms
- infographics
- tutorial
Repository Index
47,133 repositories indexed
1–11 of 11 · Most stars
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
- machine-learning
- deep-learning
- deep-reinforcement-learning
- machine-learning-from-scratch
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
A collection of algorithms and data structures
- algorithms
- linear-algebra
- graph-theory
- search-algorithms
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
Custom memory allocators in C++ to improve the performance of dynamic memory allocation
- memory-allocation
- custom-allocator
- pool-allocator
- stack-allocator
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
A playground demoing how to use Accelerate & Swift for Linear Algebra (vector/matrix manipulations)
An example of implementing linear regression in Ruby.
- rubyml