buinm

homework_fall2021

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

jukebox

Code for the paper "Jukebox: A Generative Model for Music"

Olaf_Onboarding

ORB_SLAM2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

project-1

Started Code for Liso Webserver

Trajectron-plus-plus

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

HJ_solver

Accelerators for solving Hamiltonian-Jacobi partial differential equation (PDE) on a 4D Dubins Car system

optimized_dp

Optimizing Dynamic Programming-Based Algorithms

Safety-reachability

buinm/homework_fall2021

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)

buinm/introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

buinm/jukebox

Code for the paper "Jukebox: A Generative Model for Music"

buinm/Olaf_Onboarding

buinm/ORB_SLAM2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

buinm/project-1

Started Code for Liso Webserver

buinm/Trajectron-plus-plus

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).