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
TensorFlow models accelerated with NVIDIA TensorRT
A WebGL accelerated JavaScript library for training and deploying ML models.
Using TensorFlow.js MobileNet model for image classification on Node.js
Using TensorFlow.js MobileNet model for image classification on Node.js accelerated by using GPU via WebGL
TicTacToe game I made to get some coding confidence. Ugly n00b code.
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Traffic Signs Detection and Recognition with Tensorflow
pipe a filtered tweet stream to the osx say command
building a bunch of twisted tutorial examples, HTTP, Proxy, Finger, uppercse and Cache Servers with Twisted
Collection of python scripts to scrape Twitter user friend/follow data
Teaching Keras Tensorflow CNN with Self Driving Car Simulator
Project Rehydrate - simple UDP service using Scala Akka and sending to Kafka Topic
Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras
Run Universe environments in Windows (maintained by DeepDrive)
Urban sound classification using Deep Learning
just a simple ansible build for dev environment
Vehicle Detection and Tracking using Blob Algorithm + Linear SVC (or YOLO V2)
Efficient 3D human pose estimation in video using 2D keypoint trajectories
A Python to Vega translator
collection of python tools
Steering, Throttle and Brake regressor from raw camera pixels for self-driving cars, trained with DeepGTAV
Fast parallel CTC.
collection of python webscraping tools
python3.6, tensorflow, keras, nltk, gensim, word2vec_experiments_kaggle_popcorn
Open Source Security Workbench
Dark Flow (YOLOv2) for Traffic Light Detection Implemented for ROS
Vehicle Detection using tensorflow implementation of 'YOLO : Real-Time Object Detection'
Master Thesis "ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network"