Name: BigsnarfDude
Type: User
Bio: Standing on the shoulders of giants - ML, Deep Learning, and DFIR. Kaggle Expert. https://www.Kaggle.com/vincento.
Python, Scala, Spaces, and VIM
Location: Canada
Blog: bigsnarfdude.github.io
BigsnarfDude's Projects
Includes the source code of the methods which participated in the M4 Competition
POC IDS anomaly detection engine built with iPython notebook, matplotlib, pandas, numpy, scikit-learn, d3.js, hyperloglog implementation, PYCON 2013 Intro and Advanced Machine Learning Tutorial Notebooks
Malware Detection and Classification Using Machine Learning
NSRL BloomFilter, Mandiant BloomFilter, Hyperloglog Malware Data Structure
corey, pieter, nimi, dj and I tried to deploy Heroku Twitter sentiment engine for scoring debates for HackDay project
OpenLabTools Microscope Project
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow for Mobile Deployment
Models and examples built with TensorFlow
A simple monocular visual odometry project in Python
Real-time Joint Semantic Reasoning for Autonomous Driving
机器学习的研究
practice scripts for classes, netflix API wrapper - search from command line, functional fizzbuzz, Flask ZODB
Super Resolution for images using deep learning.
TensorFlow implementation for audio neural style.
Deep Learning libraries tested on images and time series
NVIDIA DeepStream SDK
Implements an OpenCV video player which allows the user to easily generate labelled images from videos.
open source driving agent
Open Source Car Control 💻🚗🙌
OS X Auditor is a free Mac OS X computer forensics tool
p5_VehicleDetection_Unet
Packetpig - Open Source Big Data Security Analytics
Kafka -> Storm Analytics -> Redis -> Flask -> D3.js
Convenience functions for processing point cloud data
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Practical Python Programming (course by @dabeaz)
Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"
An introduction to Bayesian methods + probabilistic programming in data analysis with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)