Andrey's repositories
K-Nearest-Neighbors-with-Dynamic-Time-Warping
Python implementation of KNN and DTW classification algorithm
Bayesian-Modelling-in-Python
A python tutorial on bayesian modeling techniques (PyMC3)
BEGAN
Boundary Equibilibrium Generative Adversarial Networks Implementation in Tensorflow
cs224n-winter17-notes
Course notes for CS224N Winter17
DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
learning-to-learn
Learning to Learn in TensorFlow
lectures
Oxford Deep NLP 2017 course
LSTM-Text-Generation
Tons of fun with text and recurrent neural networks! Let your computer read a book and tell you its own story. 🤣
magenta
Magenta: Music and Art Generation with Machine Intelligence
ML_bazaar
Thursday OxCSML research group meetings at the Department of Statistics, University of Oxford.
neural-summary-tensorflow
In progress
pix2pix-tensorflow
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
practical-2
Oxford Deep NLP 2017 course - Practical 2: Text Classification
practical-open
Oxford Deep NLP 2017 course - Open practical
Python-Data-Analysis
Python Data Analysis book code
PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
rwa
Machine Learning on Sequential Data Using a Recurrent Weighted Average
scikit-and-tensorflow-workbooks
based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron)
Sequence-to-Sequence-Learning-of-Financial-Time-Series-in-Algorithmic-Trading
My bachelor's thesis—analyzing the application of LSTM-based RNNs on financial markets. 🤓
shogun
The Shogun Machine Learning Toolbox (Source Code)
sonnet
TensorFlow-based neural network library
tensorflow
Computation using data flow graphs for scalable machine learning
TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners
tensorflow-seq2seq-tutorials
Dynamic seq2seq in TensorFlow, step by step
TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
tf-stanford-tutorials
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
trillian
Trillian implements a Merkle tree whose contents are served from a data storage layer, to allow scalability to extremely large trees.