NWChen's Stars
excalidraw/excalidraw
Virtual whiteboard for sketching hand-drawn like diagrams
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
huggingface/lerobot
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
damianavila/RISE
RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension
RobotLocomotion/drake
Model-based design and verification for robotics.
dora-rs/dora
DORA (Dataflow-Oriented Robotic Architecture) is middleware designed to streamline and simplify the creation of AI-based robotic applications. It offers low latency, composable, and distributed dataflow capabilities. Applications are modeled as directed graphs, also referred to as pipelines.
rsvp/fecon235
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
NVlabs/Deep_Object_Pose
Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)
quickfix-j/quickfixj
QuickFIX/J is a full featured messaging engine for the FIX protocol. - This is the official project repository.
e3nn/e3nn
A modular framework for neural networks with Euclidean symmetry
mir-group/nequip
NequIP is a code for building E(3)-equivariant interatomic potentials
RoboStack/jupyter-ros
Jupyter widget helpers for ROS, the Robot Operating System
google/digitalbuildings
Digital Buildings (ontology and SDK) currently being used by Google internally to manage our own buildings.
nomeata/arbtt
arbtt, the automatic rule-based time-tracker
williamFalcon/tensorflow-gpu-install-ubuntu-16.04
Tensorflow GPU install instructions for ubuntu 16.04 - Deep learning
google/travel-impact-model
Emission estimation model for flights
ZebraDevs/fetch_gazebo
Gazebo simulator for Fetch
4Catalyzer/flask-resty
Building blocks for REST APIs for Flask
materialsproject/mpmorph
MPmorph is a collection of tools to run and analyze ab-initio molecular dynamics (AIMD) calculations run with VASP, and is currently under development. It relies heavily on tools developed by the Materials Project (pymatgen, custodian, fireworks) and atomate.
jkitchin/dft-book-espresso
New version of dft-book for Quantum Espresso
m-k-S/awesome-machine-learning-atomistic-simulation
An overview of literature that discusses the use of machine learning for atomistic simulations
EvelynSubarrow/Stormrunner
A set of modifications to run Lego Mindstorms' Stormrunner as a standalone application
noahbagz/ShipD
Dataset of 30,000 ship hulls for machine learning applications to ship design.
mikeb01/folklore
Talk Material
GT-RAIL/derail-fetchit-public
Public code for the FetchIt! challenge: https://opensource.fetchrobotics.com/competition
Columbia-Creative-Machines-Lab/muscle-prediction
NWChen/heckell
A programming language for set theory.
francesar/francesar.github.io
the best website evaaaaaa
jakehlee/DEMUD
Discovery via Eigenbasis Modeling of Uninteresting Data
jchinnam/mood
analytics out of my own mood data after tracking it daily for 2 years