tdtrinh11 Goto Github PK
Name: TrinhTienDat
Type: User
Company: HUST
Twitter: tdtrinh11
Location: Hanoi, Vietnam
Name: TrinhTienDat
Type: User
Company: HUST
Twitter: tdtrinh11
Location: Hanoi, Vietnam
[ACL-IJCNLP 2021] Automated Concatenation of Embeddings for Structured Prediction
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
Data for Automatic Keyphrase Extraction Task
The most cited deep learning papers
Efficient Graph Neural Networks - a curated list of papers and projects
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
The guide to tackle with the Text Summarization
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Use Google's BERT for named entity recognition (CoNLL-2003 as the dataset).
Dữ liệu lớn yêu cầu cần có các cơ chế, kỹ thuật xử lý dữ liệu ở quy mô lớn và hiệu quả. Học phần này nhằm cung cấp cho người học các kiến thức về công nghệ lưu trữ dữ liệu lớn, các hệ quản trị cơ sở dữ liệu NoSQL, NewSQL, các nguyên lý xử lý dữ liệu song song, phân tán, theo khối, theo luồng, xử lý sự kiện phức tạp, quản lý luồng công việc. Bên cạnh đó, người học được làm quen và vận dụng các công nghệ xử lý dữ liệu lớn trên nền tảng Hadoop - Map Reduce, và Spark. Sau khi kết thúc học phần này người học có khả năng hiểu, lựa chọn, cài đặt, và vận hành các giải pháp lưu trữ và xử lý dữ liệu phù hợp dựa trên các kiến thức học được cho các bài toán ứng dụng cụ thể liên quan tới dữ liệu lớn.
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Python, Machine Learning, Deep Learning and Data Science Books
Clean Code Tiếng Việt: Bản dịch 6 chương đầu từ quyển "Clean Code - A Handbook of Agile Software Craftsmanship" - Robert C. Martin et. al.
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
In-depth tutorials for implementing deep learning models on your own with PyTorch.
Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
List of Data Science Cheatsheets to rule the world
Fake News Detection using Deep Learning models in Tensorflow
Draft of the fastai book
Deep Q-learning for playing flappy bird game
Hướng dẫn sử dụng git, github
PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
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.