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xrosliang's Projects

p-tuning icon p-tuning

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

p-wl icon p-wl

A Persistent Weisfeiler–Lehman Procedure for Graph Classification

p2b icon p2b

P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds

paa icon paa

A PyTorch implementation of the paper `Probabilistic Anchor Assignment with IoU Prediction for Object Detection` ECCV 2020 (https://arxiv.org/abs/2007.08103)

pacnet icon pacnet

Pixel-Adaptive Convolutional Neural Networks (CVPR '19)

paconv icon paconv

(CVPR 2021) PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

paddle-rlbooks icon paddle-rlbooks

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

paddle-yolov4 icon paddle-yolov4

Paddle-YOLOv4,supports training, at least 39.5% mAP.支持训练,至少39.5%mAP。少数的给出精度的复现。

paddlepaddle_image_completion icon paddlepaddle_image_completion

本项目代码使用 PaddlePaddle 框架进行实现,应用场景:图像补全(Image completion),目标移除(Object remove)

paddlevit icon paddlevit

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

paircnn-ranking icon paircnn-ranking

A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

palmerpenguins icon palmerpenguins

A great intro dataset for data exploration & visualization (alternative to iris).

palt-tilt-cam icon palt-tilt-cam

Use OpenCV for Face Detection then Pilote a Pi Camera with 2 servos in order to keep the tracked-face always in the centers of camera-frame

paml icon paml

Personalizing Dialogue Agents via Meta-Learning

pampy icon pampy

Pampy: The Pattern Matching for Python you always dreamed of.

pams icon pams

PArameterized Max Scale

pandas_alive icon pandas_alive

Create stunning, animated visualisations with Pandas & Matplotlib as easy as calling `df.plot_animated()`

panet icon panet

PANet for Instance Segmentation and Object Detection

panoptic-deeplab icon panoptic-deeplab

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

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