almachow's repositories
keras_attention_block
attention block for keras Functional Model with only tensorflow backend
deep-learning-ocean
:satellite: All You Need to Know About Deep Learning - A kick-starter
blogScripts
Repository for code used in my blog posts
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
keras
Deep Learning for humans
pytorch_examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
tensorflow
Computation using data flow graphs for scalable machine learning
keras-cn
Chinese keras documents with more examples, explanations and tips.
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
deeplearningbook-chinese
Deep Learning Book Chinese Translation
Diebold-Mariano-Test
This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).
visual_debugging
Source for the Visual Debugging webinar for PyCharm. Uses the Arcade library to build a 2d Python game, learning techniques for debugging along the way.
hello-world
Just another repository
deeplearning-tf
Courses, tutorials and examples of Deep Learning with TensorFlow
LSTM-Human-Activity-Recognition
Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING) - Guillaume Chevalier