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rtabmap_utils

rtabmap_utils for ROS (launch files for running RTAB-Map and Hector Mapping with the Kinect v2 and RPLIDAR A2)

rtik

Comprehensive inverse kinematics system for Unreal Engine 4

rwkv-lm

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

ryven

Flow-based visual scripting for Python

sampling-based-planners

C++ implementation of RRT, RRT*, and Informed-RRT* using kd-tree for searching NN and NBHD nodes. Supports arbitrary dimensions and compiles as a shared library.

samplingbasedplanners

Implementation of PRM and RRT for a simple 2D navigation task with polygonal obstacles.

satnet

Bridging deep learning and logical reasoning using a differentiable satisfiability solver.

sbpl_manipulation

SBPL Motion Planners for Manipulation

sc-lio-sam

LiDAR-inertial SLAM: Scan Context + LIO-SAM

scaledyolov4

Scaled-YOLOv4: Scaling Cross Stage Partial Network

segformer

Official PyTorch implementation of SegFormer

segformer-pytorch

Implementation of Segformer, Attention + MLP neural network for segmentation, in Pytorch

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

self-driving-car

Udacity Self-Driving Car Engineer Nanodegree projects.

self-driving-golf-cart

Be Driven 🚘

semantic-segmentation

SOTA Semantic Segmentation Models in PyTorch

semantic-segmentation-editor

Web labeling tool for bitmap images and point clouds

semantic-segmentation-pytorch

Pytorch Kullanarak Semantik Segmentasyon Uygulaması

shc_tutorials

Tutorials for using OpenSHC

sigfox-toolbox

Toolbox for experimentation with SIGFOX LP-WANs (eWINE project)

simattention

Contrastive Learning, Patch Attention, Point Cloud

simipu

[AAAI 2021] Official Implementation of "SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations"

simpcl

Point Cloud Filtering and Mapping package for ROS

simple-architecture-on-point-clouds

Using Hilbert or Z_order with CNN to achieve downstream tasks

simple-kitti-visualization

Simple and easy to follow point cloud and bounding box visualizations for kitti data. The only dependencies are OpenCV and Numpy. Create re-projections onto images and 3 different views of a point-cloud with a black background (birds eye view, first person view, third person view).

simple-onnx-processing-tools

A set of simple tools for splitting, merging, OP deletion, size compression, rewriting attributes and constants, OP generation, change opset, change to the specified input order, addition of OP, RGB to BGR conversion, change batch size, batch rename of OP, and JSON convertion for ONNX models.

simple-pointpillar

This is just a simple implementation of "PointPillars: Fast Encoders for Object Detection from Point Clouds"

simplemqttlogger

simple python based mqtt logger client

simplesp

simplet5

simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.