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Development repository for the Triton language and compiler
An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)
Aligning pretrained language models with instruction data generated by themselves.
Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.
Aligning LMMs with Factually Augmented RLHF
[CVPR 2024] Official RT-DETR (RTDETR paddle pytorch), Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection. 🔥 🔥 🔥
[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning
Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving
This is Pytorch Implementation Code for adding new features in code of Segment-Anything. Here, the features support batch-input on the full-grid prompt (automatic mask generation) with post-process…
CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code inclu…
This repository contains the PyTorch implementation of the CVPR'2024 paper (Highlight), IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection.
A full modbus protocol written in python
BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).
Awesome Papers about World Models in Autonomous Driving
[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering
[NeurIPS'23 Spotlight] Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
Implementation of IROS23 paper - "PANet: LiDAR Panoptic Segmentaion with Sparse Instance Proposal and Aggregation"
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud (IROS 2021)
[IEEE T-PAMI] All you need for End-to-end Autonomous Driving
Xtreme1 is an all-in-one data labeling and annotation platform for multimodal data training and supports 3D LiDAR point cloud, image, and LLM.
Ground Segmentation, Floor Segmentation
MetaDrive: Open-source driving simulator
ScenarioNet: Scalable Traffic Scenario Management System for Autonomous Driving
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