Huang Lianghua (huanglianghua)

huanglianghua

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Huang Lianghua's repositories

siamfc-pytorch

A clean PyTorch implementation of SiamFC tracking/training, evaluated on 7 datasets.

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GlobalTrack

Official PyTorch implementation of "GlobalTrack: A Simple and Strong Baseline for Long-term Tracking" @ AAAI2020.

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open-vot

Open source visual object tracking library in python

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video-detection-benchmark

Video object detection benchmark.

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cortex

A minimal engine and a large benchmark for deep learning algorithms. Built upon PyTorch.

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HowToTrainYourMAMLPytorch

The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

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lambda-networks

Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute

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retinamask

RetinaMask

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self-label

Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

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swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

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apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

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AtomNAS

Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'

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awesome-gan-inversion

A collection of resources on GAN inversion.

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cc

Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

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deep_gcns

Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral

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EfficientDet.Pytorch

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

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FCOS

FCOS: Fully Convolutional One-Stage Object Detection

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gangealing

Official PyTorch Implementation of GAN-Supervised Dense Visual Alignment

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hydra

Hydra is a framework for elegantly configuring complex applications

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pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

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pycls

Codebase for Image Classification Research, written in PyTorch.

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pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

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pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

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QuantumKatas

Tutorials and programming exercises for learning Q# and quantum computing

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reid-strong-baseline

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

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ShapeCompletion3DTracking

Code for Leveraging Shape Completion for 3D Siamese Tracking

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single-parameter-fit

Real numbers, data science and chaos: How to fit any dataset with a single parameter

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SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

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utils.pytorch

Utilities for Pytorch

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