hengxyz Goto Github PK
Type: User
Type: User
Implementation of the paper "Learning Meta Model for Zero- and Few-shot Face Anti-spoofing"
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Instruct-tune LLaMA on consumer hardware
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020
A curated list of awesome self-supervised methods
A collection of resources on applications of Transformers in Medical Imaging.
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
百度网盘命令行工具。The terminal utility for Baidu Network Disk.
Notebooks related to Bayesian methods for machine learning
Building a Bayesian deep learning classifier
Implementation of Bottleneck Transformer in Pytorch
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
Tensorflow and python realization of the cari-visual recogntion via multi-task learning
Central Difference Convolutional Networks
Use ChatGPT to summarize the arXiv papers.
Contrastive Language-Image Pretraining
[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021
Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
Self-supervised Learning for Video Correspondence Flow (BMVC 2019)
Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling. (ECCV2020 oral)
Domain Adaptation for Image Dehazing, CVPR2020
DeCUR: decoupling common & unique representations for multimodal self-supervision.
TensorFlow Implementation of Deep Mutual Learning
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.
Official DeiT repository
Distributed training of a VGG neural network using PyTorch Distributed Data Parallel module
Implementation of DocFormer: End-to-End Transformer for Document Understanding, a multi-modal transformer based architecture for the task of Visual Document Understanding (VDU)
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.