x-lai Goto Github PK
Name: Xin Lai
Type: User
Company: The Chinese University of Hong Kong
Bio: A Ph.D student in the Chinese University of Hong Kong (CUHK)
Location: HKSAR, China
Blog: https://x-lai.github.io/
Name: Xin Lai
Type: User
Company: The Chinese University of Hong Kong
Bio: A Ph.D student in the Chinese University of Hong Kong (CUHK)
Location: HKSAR, China
Blog: https://x-lai.github.io/
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
Adaptive Masked Proxies for Few Shot Semantic Segmentation
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Adaptive Cross-Modal Few-shot learning OSS code
A project that develops an analogy finisher (predictor of final word in an analogy) by using various word embeddings as training (such as the GloVe and LexVex embeddings; which are not included here due to the size of the files). Mikolov's analogy dataset was used to test the model's accuracy in completing the analogies. Additionally, the most similar words (synonyms) and most dissimilar words (antonyms) were calculated using cosine similarity for a select number of words.
Parses log lines from an apache log
A curated list of resources for Learning with Noisy Labels
:metal: awesome-semantic-segmentation
:scroll: An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
Andrew Ng's stanford macine learning courses notes
斯坦福 cs231n 作业代码实践
My implementation about CS231n spring 2017 homework. I chose to use tensorfow to implement assignment3.
Convolutional Neural Networks
MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++
暂时停止更新,去做些巩固基础的工作
A paper list of object detection using deep learning.
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
MOT using deepsort yolo3 with C++
This is the tensorflow implementation for the paper "Delta-encoder: an effective sample synthesis method for few-shot object recognition" https://arxiv.org/abs/1806.04734
Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
Dexter is a framework that implements some popular algorithms and provides all the tools needed to develop any entity linking technique.
pytorch simple implement for "Dynamic Few-Shot Visual Learning without Forgetting" in Jupyter Version
A tensorflow implementation of EAST text detector
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.