hydrogeohc Goto Github PK
Name: YJ Chen
Type: User
Company: AI/LLM researcher
Bio: My projects focus on applying AI/ML at multiple spatial-temporal scales for real world use cases.
Location: Cupertino, CA
Blog: https://g.dev/yingjungc
Name: YJ Chen
Type: User
Company: AI/LLM researcher
Bio: My projects focus on applying AI/ML at multiple spatial-temporal scales for real world use cases.
Location: Cupertino, CA
Blog: https://g.dev/yingjungc
Python code for "Probabilistic Machine learning" book by Kevin Murphy
Deep universal probabilistic programming with Python and PyTorch
All Algorithms implemented in Python
Python - 100天从新手到大师
🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
Python Deep Dive Course - Accompanying Materials
Advanced Python Mastery (course by @dabeaz)
A collection of simple python mini projects to enhance your python skills
[Book-2020] Python For DevOps: Learn Ruthlessly Effective Automation
Python sample codes for robotics algorithms.
Time series easier, faster, more fun. Pytimetk.
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
This is a repo for raster data calculation (NDVI)
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python
Seamlessly integrate LLMs into scikit-learn.
Tools used to generate the SciPy conference proceedings
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Backend master class: build a simple bank service in Go
Metadata-aware machine learning.
skweak: A software toolkit for weak supervision applied to NLP tasks
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.