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
40 Algorithms Every Programmer Should Know, published by Packt
Easily create a beautiful website using Academic and Hugo
A Python toolkit for rule-based/unsupervised anomaly detection in time series
An Open-source Framework for Autonomous Language Agents
Text classification demo from our Next '19 breakout session
End-to-end machine learning on your desktop or server.
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Anomaly detection related books, papers, videos, and toolboxes
Approaching (Almost) Any Machine Learning Problem
Sample code from the Arctic Data Center training
Declarative continuous deployment for Kubernetes.
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
👓 ⏩ A curated list of resources about all things Cloud Run
A curated list of awesome computer vision resources
A list of popular deep learning models related to classification, segmentation and detection problems
A curated list of awesome Dash (plotly) resources
A tutorial for setting a new machine with core data science tools
A collection of important graph embedding, classification and representation learning papers with implementations.
JAX - A curated list of resources https://github.com/google/jax
A curated awesome list of Machine Learning Engineering resources. Feel free to contribute! 🚀
A curated list of references for MLOps
Awesome Open Atmospheric, Ocean, and Climate Science
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
List of satellite imagery datasets with annotations for computer vision and deep learning
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
A curated list of awesome self-supervised methods
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.