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homework_fall2022

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)

install_ubuntu

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

nerfstudio

A collaboration friendly studio for NeRFs

neuralangelo

Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)

orbit

Unified framework for robot learning built on NVIDIA Isaac Sim

path_planner

Hybrid A* Path Planner for the KTH Research Concept Vehicle

pythonrobotics

Python sample codes for robotics algorithms.

pytorch-transformer

Attention is all you need implementation

resfields

ResFields: Residual Neural Fields for Spatiotemporal Signals

rpg_svo

Semi-direct Visual Odometry

rsl_rl

Fast and simple implementation of RL algorithms, designed to run fully on GPU.

sdfstudio

A Unified Framework for Surface Reconstruction