Somrita Banerjee (somritabanerjee)

somritabanerjee

Geek Repo

Company:Stanford Autonomous Systems Laboratory

Github PK Tool:Github PK Tool

Somrita Banerjee's repositories

AA203-Examples

Examples shown in class and recitation from AA203: Optimal and Learning-Based Control.

Language:Jupyter NotebookStargazers:1Issues:0Issues:0

ALPaCA

Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone

Language:Jupyter NotebookLicense:MITStargazers:1Issues:0Issues:0

BiMDPs.jl

Bi-level MDPs for Mission Planning

Language:Jupyter NotebookLicense:MITStargazers:1Issues:1Issues:0

GuSTO.jl

This is my working version of StanfordASL/GuSTO.jl

Language:JuliaLicense:MITStargazers:1Issues:0Issues:0
Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1Issues:0Issues:0

a-brief-guide-to-astrobee

A Brief Guide to Astrobee's Flight Software

Language:TeXStargazers:0Issues:0Issues:0
Language:MATLABStargazers:0Issues:0Issues:0
Language:JuliaLicense:MITStargazers:0Issues:0Issues:0
Language:JuliaLicense:MITStargazers:0Issues:0Issues:0

AA228PoliceOfficersOnDemand

Police officers on demand! Given a year's worth of data on the times and locations that crime occur in San Francisco, how should we optimally move police officers across the city over a 24 hour period? We want to minimize cost of moving police officers and minimize the number of unattended crimes without enough police officers in the area.

Language:JuliaStargazers:0Issues:0Issues:0
Language:JuliaStargazers:0Issues:0Issues:0
Language:JuliaStargazers:0Issues:0Issues:0

AA274_lecture_notes

Compiled lecture notes for AA274

Language:TeXStargazers:0Issues:0Issues:0

AlexNet-A-Practical-Implementation

Implementation of AlexNet with Tensorflow

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

cme216-spring-2020

Stanford CME 216 2020, Machine Learning in Computational Engineering

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:0Issues:0Issues:0

gazebo_ros_pkgs

Wrappers, tools and additional API's for using ROS with Gazebo. Formally simulator_gazebo stack

Stargazers:0Issues:0Issues:0

GuSTO.jl-1

Code to accompany: Sequential Convex Programming: Generalized Method and Theoretical Convergence Guarantees for Trajectory Optimization

Language:JuliaLicense:MITStargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0

osqp

The Operator Splitting QP Solver

License:Apache-2.0Stargazers:0Issues:0Issues:0

speedplusbaseline

PyTorch implementations of CNNs and domain-bridging algorithms used in baseline studies of SPEED+ dataset

Language:PythonLicense:MITStargazers:0Issues:0Issues:0