Artem Zvyagintsev's repositories
aind2-cnn
AIND Term 2 -- Lesson on Convolutional Neural Networks
autodiff-workshop.github.io
Workshop on the future of gradient-based machine learning software, NIPS 2017, 2016
awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
BayesianRNN
Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
CAU
Lectures and tutorials from Mathematical finance program at CAU in Kiel
DiffSharp
DiffSharp: Differentiable Functional Programming
gt-nlp-class
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
lawvere
The collected works of F. W. Lawvere
Lean
Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#, VB, Java)
machine-learning
Content for Udacity's Machine Learning curriculum
open-quant-live-book
An open source hands-on introductory book to learn quantitative finance and its multiple facets.
openai_gym
Working out at the (OpenAI) gym
prickle
A Python toolkit for high-frequency trade research.
pynamical
Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.
qtrader
Algorithmic Trading using Q-Learning and Recurrent Reinforcement Learning
Statistics-lectures
:mortar_board: Lectures on mathematical statistics, conducted at CAU in Kiel, Germany (2015).
TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters
torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.