ML-From-Scratch

ML frameworks

Provides implementations of fundamental machine learning models and algorithms from scratch in Python

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.

GitHub

24k stars
939 watching
5k forks
Language: Python
last commit: about 1 year ago
Linked from 2 awesome lists

data-miningdata-sciencedeep-learningdeep-reinforcement-learninggenetic-algorithmmachine-learningmachine-learning-from-scratch

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
ddbourgin/numpy-ml A collection of machine learning algorithms implemented in NumPy for rapid experimentation and prototyping. 15,466
trekhleb/homemade-machine-learning Practices implementing popular machine learning algorithms from scratch to gain a deeper understanding of their mathematics 23,121
fchollet/deep-learning-with-python-notebooks Companion notebooks implementing code samples from the book on deep learning with Python 18,712
binroot/tensorflow-book A comprehensive resource for learning machine learning using TensorFlow. 4,453
yunjey/pytorch-tutorial A comprehensive tutorial project that provides code examples for learning PyTorch by implementing various deep learning models and demonstrating their usage. 30,251
gokumohandas/made-with-ml Teaches machine learning fundamentals and software engineering practices for building production-ready ML applications 37,603
ageron/handson-ml A resource for learning machine learning with Python 25,199
sjchoi86/tensorflow-101 A comprehensive tutorial project on building and training neural networks with TensorFlow 2,606
jphall663/interpretable_machine_learning_with_python Teaching software developers how to build transparent and explainable machine learning models using Python 673
karpathy/neuraltalk A system for generating image descriptions using neural networks 5,411
iamtrask/grokking-deep-learning An open-source book and project accompanying Grokking Deep Learning by Andre Trask, covering neural networks and deep learning concepts. 7,449
leriomaggio/deep-learning-keras-tensorflow A comprehensive tutorial on building and training deep neural networks using Keras and TensorFlow 2,948
ahmedfgad/numpycnn An implementation of a convolutional neural network (CNN) using NumPy for basic classification tasks. 570
labmlai/annotated_deep_learning_paper_implementations Implementations of various deep learning algorithms and techniques with accompanying documentation 56,215
dotnet/machinelearning A cross-platform machine learning framework for .NET that enables developers to build, train, and deploy models without prior expertise in ML. 9,035