dongxiaohuang

Imperial College London MSc Computing

Pinned Repositories

AdvancePython
Advanced python exercises.
Language:Jupyter Notebook0 1 00
Angular
Language:TypeScript0 1 00
Arithmetic_expre
Language:Java00
awesome-nlp
Language:Python0 1 00
bookShelf
Language:TypeScript0 1 00
bootstrap4
Language:HTML0 1 00
C-Exercise
Language:C++0 1 00
leetcode_solutions
Language:Python50 1 015
Tensorflow2.0_notes
Language:Jupyter Notebook4 2 02
TextClassifier_Transformer
个人基于谷歌开源的BERT编写的文本分类器（基于微调方式），可自由加载NLP领域知名的预训练语言模型BERT、Bert-wwm、Roberta、ALBert以及ERNIE1.0
Language:Python41 0 011

dongxiaohuang's Repositories

dongxiaohuang/leetcode_solutions
Language:Python50 1 015
dongxiaohuang/TextClassifier_Transformer
个人基于谷歌开源的BERT编写的文本分类器（基于微调方式），可自由加载NLP领域知名的预训练语言模型BERT、Bert-wwm、Roberta、ALBert以及ERNIE1.0
Language:Python41 0 011
dongxiaohuang/Tensorflow2.0_notes
Language:Jupyter Notebook4 2 02
dongxiaohuang/AdvancePython
Advanced python exercises.
Language:Jupyter Notebook0 1 00
dongxiaohuang/Angular
Language:TypeScript0 1 00
dongxiaohuang/awesome-nlp
Language:Python0 1 00
dongxiaohuang/bookShelf
Language:TypeScript0 1 00
dongxiaohuang/bootstrap4
Language:HTML0 1 00
dongxiaohuang/C-Exercise
Language:C++0 1 00
dongxiaohuang/Chess
Language:C++0 0
dongxiaohuang/cookiecutter-pypackage
Cookiecutter template for a Python package.
dongxiaohuang/DecisionTree
Language:Python1 0
dongxiaohuang/deployment
Language:HTML1 0
dongxiaohuang/dongxiaohuang
2 0
dongxiaohuang/dongxiaohuang.github.io
Language:HTML2 0
dongxiaohuang/Enigma
Language:C++1 0
dongxiaohuang/linkcharity_production
Language:JavaScript1 0
dongxiaohuang/LinkingCharities
Language:TypeScript
dongxiaohuang/M0JaX999429
Config files for my GitHub profile.
1 0
dongxiaohuang/mocha-learning
mocha is a javascript unit test tool
Language:HTML1 0
dongxiaohuang/Naive-Bayesian-networks
The coursework for the Intelligent Data Analysis and Probabilistic Inference Course has two objectives. Firstly it is intended to help you fully understand some of the algorithms covered in the course by doing some practical data analysis work, and secondly it serves as an introduction to Python which is an excellent environment for doing numerical analysis. Python has a powerful syntax that allows you to write code that looks very much like the equations found in the notes. It provides an interface to a highly robust and fast numerical programming library. The syntax has some similarities to Matlab but Python is available for free. There are many good online tutorials which you may want to work through if you ﬁnd the coursework notes too terse.
Language:Python1 0
dongxiaohuang/Neural_Network
Language:Python
dongxiaohuang/NodeJS
Server-side Development with NodeJS, Express and MongoDB
Language:HTML1 0
dongxiaohuang/postgreSQL
SQL and ER modeling
1 0
dongxiaohuang/ProducerConsumer
Language:C++1 0
dongxiaohuang/sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
Language:Python0 0
dongxiaohuang/stable-diffusion
Language:Jupyter Notebook1 0
dongxiaohuang/TextBrewer
A PyTorch-based knowledge distillation toolkit for natural language processing
Language:Python1 0
dongxiaohuang/textcnn_test
Language:Python0 0
dongxiaohuang/Workspace-of-Preprocessing
Language:Jupyter Notebook1 0