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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
YJ Chen's Projects
40-algorithms-every-programmer-should-know
40 Algorithms Every Programmer Should Know, published by Packt
academic-kickstart
Easily create a beautiful website using Academic and Hugo
adtk
A Python toolkit for rule-based/unsupervised anomaly detection in time series
agents
An Open-source Framework for Autonomous Language Agents
ai-platform-text-classifier-shap
Text classification demo from our Next '19 breakout session
aiqc
End-to-end machine learning on your desktop or server.
algorithm-visualizer
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
algorithm_interview_notes-chinese
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
algorithmic-efficiency
MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
annotated_deep_learning_paper_implementations
🧑🏫 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-resources
Anomaly detection related books, papers, videos, and toolboxes
approachingalmost
Approaching (Almost) Any Machine Learning Problem
arctic-training
Sample code from the Arctic Data Center training
argo-cd
Declarative continuous deployment for Kubernetes.
audiolm-pytorch
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
awesome-cloudrun
👓 ⏩ A curated list of resources about all things Cloud Run
awesome-computer-vision
A curated list of awesome computer vision resources
awesome-computer-vision-models
A list of popular deep learning models related to classification, segmentation and detection problems
awesome-dash
A curated list of awesome Dash (plotly) resources
awesome-ds-setting
A tutorial for setting a new machine with core data science tools
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
awesome-jax
JAX - A curated list of resources https://github.com/google/jax
awesome-machine-learning-engineer
A curated awesome list of Machine Learning Engineering resources. Feel free to contribute! 🚀
awesome-mlops
A curated list of references for MLOps
awesome-open-climate-science
Awesome Open Atmospheric, Ocean, and Climate Science
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
awesome-satellite-imagery-datasets
List of satellite imagery datasets with annotations for computer vision and deep learning
awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
awesome-spectral-indices
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
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