jojojocelyn Goto Github PK
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My solutions to Quizzes and Programming Assignments of the specialization.
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Code for Applied Text Analysis with Python
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.
A curated list of awesome Machine Learning frameworks, libraries and software.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
A Bokeh project developed for learning and teaching Bokeh interactive plotting!
Bypass Paywalls web browser extension for Chrome and Firefox.
API for interacting with ChatGPT using Python and from Shell.
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
fast.ai Courses
List of Computer Science courses with video lectures.
Code for Data Pipelines with Apache Airflow
code for Data Science From Scratch book
Deep Learning Specialization by Andrew Ng on Coursera.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep Learning Specialization
Notes about courses Dive into Deep Learning by Mu Li
Materials from deeplearning.ai course on Coursera
Compilation of resources and insights that helped me on my journey to data scientist
My solution to the book A Collection of Data Science Take-Home Challenges
A clothing retrieval and visual recommendation model for fashion images.
Library for fast text representation and classification.
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
Data Science Resources (Mostly Free)
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
Code for the paper "Language Models are Unsupervised Multitask Learners"
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.