TensorFlow-Book by BinRoot
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
updated at May 8, 2024, 2:37 a.m.
awesome-network-embedding by chihming
A curated list of network embedding techniques.
updated at May 8, 2024, 6:41 a.m.
awesome-random-forest by kjw0612
Random Forest - a curated list of resources regarding random forest
updated at May 8, 2024, 2:22 p.m.
machine-learning by ethen8181
machine learning tutorials (mainly in Python3)
updated at May 9, 2024, 10:43 a.m.
AndroidTensorFlowMNISTExample by amitshekhariitbhu
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
updated at May 10, 2024, 4:22 a.m.
Multilingual-Latent-Dirichlet-Allocation-LDA by ArtificiAI
A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.
updated at May 10, 2024, 10:29 a.m.
nn-from-scratch by dennybritz
Implementing a Neural Network from Scratch
updated at May 10, 2024, 2:57 p.m.
gplearn by trevorstephens
Genetic Programming in Python, with a scikit-learn inspired API
updated at May 10, 2024, 9:28 p.m.
awesome-torch by carpedm20
A curated list of awesome Torch tutorials, projects and communities
updated at May 10, 2024, 10:42 p.m.
stanford-tensorflow-tutorials by chiphuyen
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
updated at May 11, 2024, 3 a.m.
graph-based-deep-learning-literature by naganandy
links to conference publications in graph-based deep learning
updated at May 11, 2024, 7:39 a.m.
DataScienceR by ujjwalkarn
a curated list of R tutorials for Data Science, NLP and Machine Learning
updated at May 11, 2024, 10:02 a.m.
awesome-rnn by kjw0612
Recurrent Neural Network - A curated list of resources dedicated to RNN
updated at May 11, 2024, 12:17 p.m.
Kalman-and-Bayesian-Filters-in-Python by rlabbe
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
updated at May 11, 2024, 5:19 p.m.
DataSciencePython by ujjwalkarn
common data analysis and machine learning tasks using python
updated at May 11, 2024, 5:38 p.m.
have-fun-with-machine-learning by humphd
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
updated at May 11, 2024, 7:44 p.m.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers by CamDavidsonPilon
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 ;)
updated at May 11, 2024, 9:19 p.m.