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Name: Jeffrey Lin
Type: User
Bio: An engineer of deep learning and big data pipeline, with strong enthusiasm in the research of the open-source python community.
Location: Taiwan, Taipei
Name: Jeffrey Lin
Type: User
Bio: An engineer of deep learning and big data pipeline, with strong enthusiasm in the research of the open-source python community.
Location: Taiwan, Taipei
My Arduino Project Archive
Small Experiment on python ast — Abstract Syntax Trees
The atexit package of python can use to accomplish graceful shutdown. Nice to study it!
Here is my notes of books about software engineering, machine learning, and others.
Studying the use of nuitka, ctype, execnet to fuse executable of python, c++, and pypy.
A playground for analyzing codebase using redisgraph and pycograph
holding all my colab notebooks
The c++ code for the HW of data mining course
Contribute to dropbox implementation for intake module
Try to speed up webcrawling with the combination of Ray and selenium
Portfolio Management Framework for risk and performance analysis 投资组合管理
Place for studying and experimenting with FastAPI
Study the usage of SUA / the-oracle / beibo
Developing the Flask Application for ESUM DA/DE team
Study the usage of fsspec, a general python interface for various File System(s) including s3 and Dropbox.
Calculate and Analyze the Important Index of Mutual Funds
Extract information about python developers from Github account and repositories.
This project aims to predict the future price of mutual fund via GluonTS package.
Repo for the code of my graduate school
Studying the usage of the data loader of Graph DL packages (DGL / PyTorch-geometric)
Experiment with networkx and some graph package for building fast end-to-end graph data pipeline.
Experiment with the HFT backtest python package
This project create a system for searching and visualizing historical event by year and location in map.
The goal of this experiment is to compare the effectiveness and efficiency of different hyper-parameter tuning schemes, such as grid search, random search, Baysian optimization, and population-based hyper-parameter tuning. We will leverage a package called, Ray, which support hyper parameter tuning with parallel computation, for speeding up the experiment. We focused on a simple XOR problem, which is a function that required a neural network of only a few layers (two is sufficient). The basic hyper-parameters considered in this experiment are: 1. Batch size, 2. Learning rate, 3. Momentum, 4. Layer count, and 5. Layer Size.
A Cytoscape Jupyter widget
A python json schema inferencer with Rust's core.
Fast Schema Inferencing of JSON from jsonl file or web API.
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.