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Name: WYYAHYT
Type: User
Name: WYYAHYT
Type: User
Fork of EAVISE adversarial-yolo from paper "Fooling automated surveillance cameras: adversarial patches to attack person detection"
A Toolbox for Adversarial Robustness Research
Run AutoRec(2015) by pytorch
[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.
BEVFormer inference on TensorRT, including INT8 Quantization and Custom TensorRT Plugins (float/half/half2/int8).
Categorical Depth Distribution Network for Monocular 3D Object Detection (CVPR 2021 Oral)
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)
ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理
Improved Soft Filter Pruning and classic filter pruning on PointNet and PointNet++
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,).
OpenMMLab's next-generation platform for general 3D object detection.
Network Slimming (Pytorch) (ICCV 2017)
Implementation network trimming using pytorch
pytorch version of neural collaborative filtering
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Python C++ Code Manager
[ICLR 2022 poster] Official PyTorch implementation of "Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework"
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
PyTorch implementation of Pointnet2/Pointnet++
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
PyTorch implementation of "Pruning Filters For Efficient ConvNets"
(CVPR 2022 Oral) Official implementation for "Surface Representation for Point Clouds"
A PyTorch implementation for the Recsys 2020 paper: Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
all kinds of recommendation algorithms implement.
Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"
Spatial Sparse Convolution Library
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.