Razvan Dragut's repositories
ArrowInPractice
Lambda.World Cádiz 2018 Workshop - Encoding Functional web services using Arrow and Ktor
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
data-science-ipython-notebooks
Recently updated with 50 new notebooks! Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
deep-learning-book
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
deep-learning-keras-tensorflow
Introduction to Deep Neural Networks with Keras and Tensorflow
DeepDreamVideo
implementing deep dream on video
deeplearning-mindmap
A mindmap summarising Deep Learning concepts.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Java
All Algorithms implemented in Java
keras-deep-learning-paper-implementations
Keras implementation of Deep Learning papers
komputation
Komputation is a neural network framework for the JVM written in the Kotlin programming language.
machine-learning-coursera-1
This repo is specially created for all the work done my me as a part of Coursera's Machine Learning Course.
machine-learning-mindmap
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
Mining-the-Social-Web-2nd-Edition
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
python-patterns
A collection of design patterns/idioms in Python
PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
scikit-learn
scikit-learn: machine learning in Python
sklearn-classification
Data Science Notebook on a Classification Task, using sklearn and Tensorflow .
sklearn_tutorial-1
Materials for my scikit-learn tutorial