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shengzhang90's Projects

hrnet-maskrcnn-benchmark icon hrnet-maskrcnn-benchmark

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

hrnet-object-detection icon hrnet-object-detection

Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).

idl_data icon idl_data

OCR Annotations from Amazon Textract for Industry Documents Library

imgaug icon imgaug

Image augmentation for machine learning experiments.

indrnn_pytorch icon indrnn_pytorch

Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.

instaboost icon instaboost

Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"

kaolin icon kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

label-studio icon label-studio

Label Studio is a multi-domain data labeling tool with standardized output format

laser icon laser

Language-Agnostic SEntence Representations

lilt icon lilt

[ACL 2022]LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding

lstr icon lstr

This is an official repository of End-to-end Lane Shape Prediction with Transformers.

mae-pytorch icon mae-pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

maml-pytorch icon maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

maskformer icon maskformer

Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)

maskrcnn-benchmark icon maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mdenas icon mdenas

Multinomial Distribution Learning for Effective Neural Architecture Search

megreader icon megreader

A research project for text detection and recognition using PyTorch 1.2.

meta-learning-lstm icon meta-learning-lstm

This repo contains the source code accompanying a scientific paper with the same name.

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