Google Smartphone Decimeter Challenge 2023

Understanding Deep Learning - Simon J.D. Prince

VisionLLM Series

torchview: visualize pytorch models

Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.

Ongoing research training transformer models at scale

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

NanoGPT (124M) in 5 minutes

[CVPR'24] 3D Neural Edge Reconstruction

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…

The Hugging Face course on Transformers

Video+code lecture on building nanoGPT from scratch

The simplest, fastest repository for training/finetuning medium-sized GPTs.

You Only Look Once for Panopitic Driving Perception.（MIR2022）

🚗 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch implementation of "End-to-End Learning for Self-Driving Cars" (arXiv:1604.07316) with Udacity's Simulator

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Attention Is All You Need | a PyTorch Tutorial to Transformers

A Simple PointPillars PyTorch Implementation for 3D LiDAR(KITTI) Detection.

Official implementation of paper [DeepTag: A General Framework for Fiducial Marker Design and Detection]

Support code for the DeepArUco model

Ultralytics YOLO11 🚀

Implementation of popular deep learning networks with TensorRT network definition API

Lightning fast C++/CUDA neural network framework

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

GLOMAP - Global Structured-from-Motion Revisited

PopSift is an implementation of the SIFT algorithm in CUDA.

[CVPR2024] SchurVINS: Schur Complement-Based Lightweight Visual Inertial Navigation System