rqbrother

llama-toolchain

Model components of the Llama Stack APIs

llama3

The official Meta Llama 3 GitHub site

Book

:green_book:我的个人书籍学习和收藏

PointBeV

Official implementation of PointBeV: A Sparse Approach to BeV Predictions

LangSplat

Official implementation of the paper "LangSplat: 3D Language Gaussian Splatting" [CVPR2024 Highlight]

yolact

A simple, fully convolutional model for real-time instance segmentation.

zed

Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.

LLaMA-Factory

A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

MaskFormer

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

COTR

[CVPR24] COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction

4dNDF

3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation (CVPR 2024)

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

corenet

CoreNet: A library for training deep neural networks

FlyCV

FlyCV is a high-performance library for processing computer visual tasks.

T-Rex

[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy

ppq

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

SGV3D

Pytorch implementation of the paper 'Towards Scenario Generalization for Vision-based Roadside 3D Object Detection'

llm.c

LLM training in simple, raw C/CUDA

Autopilot-Notes

自动驾驶笔记，以解析各模块知识点、整合行业优秀解决方案进行阐述，以帮助自己及有需要的读者；包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容。公众号：gotonote，邮箱： 931531133@qq.com

awesome-point-cloud-registration

A curated list of point cloud registration.

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

SuperPoint

Efficient neural feature detector and descriptor

waymo_kitti_converter

A toolkit for Waymo Open Dataset <-> KITTI conversions

torchsparse

[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

DrivingDiffusion

Layout-Guided multi-view driving scene video generation with latent diffusion model

muda

μ-Cuda, COVER THE LAST MILE OF CUDA. With features: intellisense-friendly, structured launch, automatic cuda graph generation and updating.

SparseBEV

[ICCV 2023] SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

RVLD

Official code for "Recursive Video Lane Detection", ICCV 2023

StreamMapNet

neuralsim

neuralsim: 3D surface reconstruction and simulation based on 3D neural rendering.