Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

Qwen2-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

Ongoing research training transformer models at scale

A one-stop data processing system to make data higher-quality, juicier, and more digestible for (multimodal) LLMs! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据！

Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Open-Sora: Democratizing Efficient Video Production for All

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

The official Python client for the Huggingface Hub.

EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection

A project demonstrating Lidar related AI solutions, including three GPU accelerated Lidar/camera DL networks (PointPillars, CenterPoint, BEVFusion) and the related libs (cuPCL, 3D SparseConvolution…

Official code base of the BEVDet series .

HybridNets: End-to-End Perception Network

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

[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.

easy and simple way to train, export and deploy pointpillars for 3D detection

Multiview variant of Pointpillars. Contains Pytorch reimplementation of Pillar-od.

[CVPR 2023] PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection

Object detection on multiple datasets with an automatically learned unified label space.

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

An open-source codebase for exploring autonomous driving pre-training

Awesome papers about Multi-Camera Semantic Occupancy Prediction, such as TPVFormer, OccFormer, Occ3D, OpenOccupancy

The PyTorch Implementation of F-ConvNet for 3D Object Detection

Frustum PointNets for 3D Object Detection from RGB-D Data

PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)

A pytorch version of frustum-pointnets

Papers and Datasets about Point Cloud.