Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Public facing notes page

The Udacity open source self-driving car project

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Single Shot MultiBox Detector in TensorFlow

FMA: A Dataset For Music Analysis

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

Automatic 2D-to-3D Video Conversion with CNNs

Distributed deep learning on Hadoop and Spark clusters.

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube

Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.

Speech Recognition with the Caffe deep learning framework, migrating to

Udacity Project - Vehicle Detection

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

Code for training py-faster-rcnn and py-R-FCN on multiple GPUs in caffe

Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 20…

Clockwork Convnets for Video Semantic Segmenation

A neural conversation model

Implementation of Excitation Backprop in Caffe