datouready

上海

Pinned Repositories

4d-occ-forecasting
CVPR 2023: Official code for `Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting'
Language:Python00
ADLab_BEVFusion
Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
Language:Python0 0 00
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Language:Python00
annotated_deep_learning_paper_implementations
🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Language:Jupyter Notebook00
Autonomous-Driving-University
A complete computer science study plan to become a autonomous driving engineer.
0 0 00
CMT
Official implementation of paper "Cross Modal Transformer: Towards Fast and Robust 3D Object Detection"
Language:Python1 0 00
CodingInterviewChinese2
《剑指Offer：名企面试官精讲典型编程面试题》第二版源代码
Language:C++10
pytorch-YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4
Language:Python10
yolov5-rt-stack
yolort is a runtime stack for yolov5 on specialized accelerators such as libtorch, onnxruntime, tensorrt, tvm and ncnn.
Language:Python1 0 00

datouready's Repositories

datouready/CMT
Official implementation of paper "Cross Modal Transformer: Towards Fast and Robust 3D Object Detection"
Language:Python1 0 00
datouready/4d-occ-forecasting
CVPR 2023: Official code for `Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting'
Language:Python00
datouready/ADLab_BEVFusion
Offical PyTorch implementation of "BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework"
Language:Python0 0 00
datouready/blip-pytorch
这是一个blip-pytorch简化的代码，适用于了解Attention与Transformer的结构。
datouready/CENet
CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving (ICME'2022)
datouready/CenterPoint-2
datouready/clip-pytorch
这是一个clip-pytorch的模型，可以训练自己的数据集。
Language:Python0 0
datouready/cpp
Language:C++
datouready/CUDA-by-Example-source-code-for-the-book-s-examples-
CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples.
Language:C0 0
datouready/example-code-2e
Example code for Fluent Python, 2nd edition (O'Reilly 2022)
Language:Python0 0
datouready/flash-attention
Fast and memory-efficient exact attention
datouready/learning_research
本人的科研经验
0 0
datouready/Lidar_AI_Solution
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, YUV2RGB, cuOSD,).
Language:C++0 0
datouready/MMDet3d-CenterPoint
CenterPoint model trained with MMDetection3d on custom dataset, and deployed with TensorRT
datouready/nuscenes-devkit
The devkit of the nuScenes dataset.
Language:Python0 0
datouready/Open3DSOT
Open source library for Single Object Tracking in point clouds.
datouready/OpenMMLab-Learn-Exercise
openmmlab learn and exercise
Language:Jupyter Notebook0 0
datouready/P2P
A Strong Tracking Framework for 3D SOT on LiDAR Point Clouds
datouready/PanoOcc
[CVPR 2024] PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
Language:Python0 0
datouready/PaSCo
[CVPR 2024 Oral - Best paper award candidate] Official repository of "PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness"
datouready/pdf
📚 计算机经典编程书籍、大黑书、编程电子书、电子书、编程书籍，包括计算机基础、C/C++、Java、Python、面试题、架构设计、算法系列等经典电子书。
0 0
datouready/PyTorch-Tutorial-2nd
Language:Jupyter Notebook0 0
datouready/ROS-ROS2-BOOKS
从ROS1到ROS2无人机编程实战指南
datouready/SparseOcc
Fully Sparse 3D Occupancy Prediction & RayIoU Evaluation Metric
datouready/spconv_example
datouready/SST
Codes for “Fully Sparse 3D Object Detection” & “Embracing Single Stride 3D Object Detector with Sparse Transformer”
datouready/tensorrt_starter
This repository give a guidline to learn CUDA and TensorRT from the beginning.
datouready/TransFusion
[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496
datouready/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
datouready/zh-google-styleguide
Google 开源项目风格指南 (中文版)