hzhang57 Goto Github PK
Name: hzhang57
Type: User
Bio: Postdoc Fellow, CS, City University of Hong Kong
Name: hzhang57
Type: User
Bio: Postdoc Fellow, CS, City University of Hong Kong
A memory-efficient implementation of DenseNets
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
EfficientNet-GradCam Visualization
A PyTorch implementation of EfficientNet
Empire is a PowerShell and Python post-exploitation agent.
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Epipolar Transformers (CVPR 2020)
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (accepted to CVPR2019)
Bottom-up Object Detection by Grouping Extreme and Center Points
This repository is the implementation of AAAI 2020 paper: "Revisiting Bilinear Pooling: A Coding Perspective".
Facebook AI Performance Evaluation Platform
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A library for efficient similarity search and clustering of dense vectors.
@CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact bilinear pooling etc.) for training from scratch & finetuning.
SOTA ReID Methods and Toolbox
Fully Convolutional Instance-aware Semantic Segmentation
FCOS: Fully Convolutional One-Stage Object Detection
Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).
FFCV: Fast Forward Computer Vision (and other ML workloads!)
face image illumination quality assessment implement by pytorch
Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018
This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423
Converts Optical Flow files to images and optionally compiles them to a video. Flow viewer GUI is also available.
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Official implementation of 'Understanding and Enhancing Mixed Sample Data Augmentation'
FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)
Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture (AAAI-18)
Source code and models of GALD net
Implementation of Graph Convolutional Networks in TensorFlow
Source codes of our paper in CVPR 2019: Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.