Popular GitHub Repositories for Vectorized Hdmap

[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.

Efficient Batched Reinforcement Learning in TensorFlow

Bird's Eye View Perception

♟️ Vectorized RL game environments in JAX

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

Pytorch implementation of CVPR2020 paper “VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation”

Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024

[ECCV 2024] This is the official implementation of HRMapNet, maintaining and utilizing a low-cost global rasterized map to enhance online vectorized map perception.

Framework of vectorized and distributed data analytics

Web app enabling users to either record or upload audio files. Then utilizing OpenAI API (Whisper, GPT4) generates transcriptions, summaries, fact checks, sentiment analysis, and text metrics. Users can also intelligently chat about their transcriptions with a GPT4 chatbot. Data is stored relationally in SQLite and also vectorized in Pinecone.

About PyTorch implementation of SketchKnitter: Vectorized Sketch Generation with Diffusion Models, ICLR 2023, Spotlight.

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning

The ROS warper for yolov8 with tensorrt acceleration, supporting WATonobus Perception. An Efficient Approach to Generate Safe Drivable Space by LiDAR-Camera-HDmap Fusion

Vectorized Machine Learning in Python ? From Scratch

A JIT compiled chess engine which traverses the search tree in batches in a best-first manner, allowing for neural network batching, asynchronous GPU use, and vectorized CPU computations.

stable-baselines3 reinforcement learning on SUMO traffic light system

NumPy vectorized hash table for fast set and dict operations.

A novel approach to the classification of antimicrobial peptides (AMPs) using pre-trained language models to create contextual vectorized embeddings of each peptide sequence before a convolutional neural network is used as the classifier.

Multilingual Semantic Search with Reranking on a prepared large vectorized dataset comprising 10 million Wikipedia documents. It supports dense retrieval, keyword search, and hybrid search.