Mohammad Bavarian's starred repositories
awd-lstm-lm
LSTM and QRNN Language Model Toolkit for PyTorch
parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
self-driving-car
The Udacity open source self-driving car project
system-design-interview
System design interview for IT companies
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
javascripting
Learn JavaScript by adventuring around in the terminal.
Data_Bootcamp
Materials for a course at NYU Stern using Python to study economic and financial data.
DataScienceCourse
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
Computational-statistics-with-Python
Resources for STA 633 class
roboschool
DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.
BEGAN-tensorflow
Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"
improved_wgan_training
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
evolution-strategies-starter
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"
PyTorch-Mini-Tutorials
Minimal tutorials for PyTorch
pytorch-examples
Simple examples to introduce PyTorch
DeepLearningImplementations
Implementation of recent Deep Learning papers
scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
ipython-notebooks
A collection of IPython notebooks covering various topics.