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Name: Matt Shaffer
Type: User
Bio: UC Berkeley http://www.discovermatt.com
Location: San Francisco Bay Area
Name: Matt Shaffer
Type: User
Bio: UC Berkeley http://www.discovermatt.com
Location: San Francisco Bay Area
Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"
Bash Alias Generator and Manager
Self-study on Larry Wasserman's "All of Statistics"
Fork of https://github.com/ActiveVisionLab/ANCNet.git
Transform argparse into class format for Jupyter Notebook execution
Avatarify for Intel RealSense
Fork of https://github.com/ElementAI/avenue.git
A curated list of awesome links and software libraries that are useful for robots.
Install TensorFlow on AWS GPU-instance
Prototype of a game where a reinforcement learning agent is trained through natural language instructions
A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.
non-redundant, compressed, journalled, file-based storage for biological sequences
Predictive modeling for Bitcoin prices using LSTM and stacked neural nets
Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]
Essential Cheat Sheets for deep learning and machine learning researchers
Deep learning builds for NVIDIA Jetson TX2
Keras implementation of Representation Learning with Contrastive Predictive Coding for images
UC Berkeley's CS188 adapted for python 3
Course notes for CS228: Probabilistic Graphical Models.
The collaborative and real-time machine learning training suite: Experiment execution, tracking, and debugging. With server and project management tools.
A cross-platform image annotation tool for machine learning
Code for the paper "Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning" http://arxiv.org/abs/1603.07954
Code for: https://berkeleyautomation.github.io/bags/
Explanatory Script to Generate Depth Maps of a ShapeNet-type 3D Object
This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision"
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.