Huang Lianghua's repositories
siamfc-pytorch
A clean PyTorch implementation of SiamFC tracking/training, evaluated on 7 datasets.
GlobalTrack
Official PyTorch implementation of "GlobalTrack: A Simple and Strong Baseline for Long-term Tracking" @ AAAI2020.
video-detection-benchmark
Video object detection benchmark.
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.
lambda-networks
Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
retinamask
RetinaMask
self-label
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
AtomNAS
Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'
awesome-gan-inversion
A collection of resources on GAN inversion.
cc
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
deep_gcns
Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral
EfficientDet.Pytorch
Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch
FCOS
FCOS: Fully Convolutional One-Stage Object Detection
gangealing
Official PyTorch Implementation of GAN-Supervised Dense Visual Alignment
hydra
Hydra is a framework for elegantly configuring complex applications
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
pycls
Codebase for Image Classification Research, written in PyTorch.
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
QuantumKatas
Tutorials and programming exercises for learning Q# and quantum computing
reid-strong-baseline
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
ShapeCompletion3DTracking
Code for Leveraging Shape Completion for 3D Siamese Tracking
single-parameter-fit
Real numbers, data science and chaos: How to fit any dataset with a single parameter
SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
utils.pytorch
Utilities for Pytorch
