Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
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Advanced implementation of LOAM
- loam
- lidar
- slam
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
- reinforcement-learning
- parallel-processing
- cpp17
- pybind11
This repository maintains the implementation of "Event-based Stereo Visual Odometry".
This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
- fiducial-markers
- lidar
- point-clouds
- cassie
Alternating Minimization Based Trajectory Generation for Quadrotor Aggressive Flight
- robotics
- quadrotor
- trajectory-optimization
- motion-planning
A graphical user interface to annotate point clouds and 3D data.
- point-cloud
- lidar
- computer-vision
- cpp
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning