r3krut

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

awesome-scalability

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

awesome-Visual-Place-Recognition

A curated list of awesome Visual Place Recognition papers

BEV-Perception

Bird's Eye View Perception

MLDM_BOOK

Книга "Машинное обучение и анализ данных"

nerfstudio

A collaboration friendly studio for NeRFs

cadc_devkit

A devkit for the Canadian Adverse Driving Conditions (CADC) dataset.

g2opy

Python binding of SLAM graph optimization framework g2o

Awesome-Radar-Camera-Fusion

Radar Camera Fusion in Autonomous Driving

ml-4m

4M: Massively Multimodal Masked Modeling

NeuS

Code release for NeuS

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

vggsfm

[CVPR 2024 Highlight] VGGSfM Visual Geometry Grounded Deep Structure From Motion

RoboBEV

RoboBEV: Towards Robust Bird's Eye View Perception under Common Corruption and Domain Shift

Awesome-Trajectory-Motion-Prediction-Papers

FB-BEV

Official PyTorch implementation of FB-BEV & FB-OCC - Forward-backward view transformation for vision-centric autonomous driving perception

BEVFusion

Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"

CppBooks

A comprehensive catalog of modern and classic books on C++ programming language

pykan

Kolmogorov Arnold Networks

CenterPoint

TensorRT deployment for CenterPoint Lidar Detection Model.

pyceres

Factor graphs with Ceres in Python

ALIKED

ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable Transformation

Fast-BEV

Fast-BEV: A Fast and Strong Bird’s-Eye View Perception Baseline

BEVFormer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

CRN

[ICCV'23] Official implementation of CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception

SFA3D

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

PointPillars

A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.

segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

PythonRobotics

Python sample codes for robotics algorithms.

python-graphslam

Graph SLAM solver in Python