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Name: Jason Bunk
Type: User
Bio: Machine learning research engineer
Location: San Francisco, CA
Name: Jason Bunk
Type: User
Bio: Machine learning research engineer
Location: San Francisco, CA
Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"
Bonsai GPU tree code
My neural network library for educational purposes - from scratch, using Numpy with Python (CPU only).
Latest Caffe merged with CRF-RNN (GPU), py-faster-rcnn, and other additions
C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
RNNs with dropout in the hidden state for approximate Bernoulli variational posterior for weights
Curse of Dimensionality (CoD) and Convolutional Neural Networks (CNN)
DenseCut ported to Linux (now cross-platform between Windows and Linux) -- from http://mmcheng.net/densecut/
python 3 compatible version of facebookresearch/Detectron; see conversion notes
Backs up the state of your code and config files every time you start a machine learning experiment
Computer vision for feedback measurements for an inverted pendulum control system, using SFML for cross-platform visualization and interactivity, and JPhysics for real time modeling.
Object-oriented C++ numerical methods library I started in high school, with broad applications from 2D video game physics to n-body simulations to robotics. Includes visualization with OpenGL.
Realistic 3D interactive solar system simulation with n-body physics using JPhysics. Can be used for general numerical n-body simulations of complexity O(N^2) by changing the initial conditions and types of bodies (used for class projects in computational physics at UCSD).
OCT Image segmentation application based on Napari
N-body simulation of colliding galaxies: final project for UCSD Physics 141 and Physics 244, 2015. Jason Bunk.
Convert python scripts to Jupyter notebooks, while converting argparse to a notebook-friendly cell
(WIP) 3D datasets from games - RGBD, NeRFs, point clouds
code for Structured Variational Autoencoders
Port of permutohedral bilateral filtering to tensorflow as an op
A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.