Stars
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A game theoretic approach to explain the output of any machine learning model.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
💿 Free software that works great, and also happens to be open-source Python.
The "Python Machine Learning (1st edition)" book code repository and info resource
Public facing notes page
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Beaker Extensions for Jupyter Notebook
A clear, concise, simple yet powerful and efficient API for deep learning.
Feature selector is a tool for dimensionality reduction of machine learning datasets
Jupyter notebooks for using & learning Keras
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
Tutorials and training material for the H2O Machine Learning Platform
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
Automatic 2D-to-3D Video Conversion with CNNs
Teaching materials for the machine learning and deep learning classes at Stanford and Cornell
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
https://www.sc-best-practices.org
Image Segmentation and Object Detection in Pytorch
Re-implementation of TensorFlow in pure python, with an emphasis on code understandability
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks