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ml-lab's Projects

plaidml icon plaidml

PlaidML is a framework for making deep learning work everywhere.

plan2scene icon plan2scene

Official implementation of the paper Plan2Scene.

planesnet icon planesnet

Labeled training data for detection of aircraft in Planet satellite imagery

planet icon planet

Deep Planning Network: Control from pixels by latent planning with learned dynamics

planetr3d icon planetr3d

[ICCV'21] PlaneTR: Structure-Guided Transformers for 3D Plane Recovery

plexus icon plexus

Plexus - Interactive Emotion Visualization based on Social Media

plotto icon plotto

Plot suggestions for writers of creative fiction

pmfnet icon pmfnet

Implementation of "Pose-aware Multi-level Feature Network for Human Object Interaction Detection"(ICCV 2019)

pnn.pytorch.update icon pnn.pytorch.update

This repo houses the new PNN code, along with our responses to the issue raised in the recent Reddit discussion. The code is based on Michael Klachko’s repo with slight modification in model.py and main.py. All changes are marked.

pnnet icon pnnet

Conjoined Triple Deep Network for Learning Local Image Descriptors

poincare-embeddings icon poincare-embeddings

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Implementations"

point icon point

Code for CVPR2019 "Learning to Learn Relation for Important People Detection in Still Images "

pointdan icon pointdan

Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".

pointer-generator icon pointer-generator

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

pointgrow icon pointgrow

An autoregressive model for point cloud generation augmented with self-attention

pointnet icon pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

pointnet.pytorch icon pointnet.pytorch

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

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