Chansung Park
GDE for Machine Learning
Expertise
Chansung Park
GDE for Machine Learning
Expertise
GPT2Alpaca Pipeline
This project demonstrates how to build a machine learning pipeline for fine-tuning GPT2 on Alpaca dataset with the technologies of TensorFlow Extended(TFX), KerasNLP, TensorFlow, and Hugging Face Hub.
GitHub•Updated 18 months ago
TFX + W&B Integration
This repository is designed to contain the following implementations towards TensorFlow Extended(TFX) and Weights and Biases(W&B) integrations.
GitHub•Updated 21 months ago
Semantic Sementation model within ML pipeline
This repository shows how to build a Machine Learning Pipeline for Semantic Segmentation task with TensorFlow Extended(TFX) and various GCP products such as Vertex Pipeline, Training, and Enpoint.
GitHub•Updated 21 months ago
Various ways of serving Stable Diffusion
This repository shows a various ways to deploy Stable Diffusion with TF Serving, Hugging Face Endpoint, and FastAPI.
GitHub•Updated 25 months ago
Textual Inversion Pipeline for Stable Diffusion
This repository demonstrates how to manage multiple models and their prototype applications of fine-tuned Stable Diffusion on new concepts by Textual Inversion.
GitHub•Updated 26 months ago
MLOps for Vision Models from 🤗 with TFX
This repository shows how to build Machine Learning pipeline for a vision model (TensorFlow) from 🤗 Transformers using the TensorFlow Ecosystem.
GitHub•Updated 29 months ago
Complete MLOps System Workflow with GCP and TFX
This repository shows how to build a complete MLOps system with TensorFlow eXtended(TFX) and various GCP products.
GitHub•Updated 30 months ago
Deploying ML models with TFServing, Docker, GKE
This project shows how to serve a TensorFlow image classification model as RESTful and gRPC based service with TFServing, Docker, and Kubernetes.
GitHub•Updated 32 months ago
Usage of TF based SegFormer in transformers
This repository demonstrates how to use TensorFlow based SegFormer model in 🤗 transformers package with Jupyter Notebook and Gradio application.
GitHub•Updated 32 months ago
Continuous Adaptation with VertexAI's AutoML and P
This repository contains two notebooks to demonstrate how to automate to produce a new AutoML model when the new dataset comes in. This project uses Vertex AI in general, Vertex Managed Dataset, Verte
GitHub•Updated 35 months ago
Image Search with Natural Language Queries
This project shows how to build an image search Flutter app with natural language queries using OpenAI's CLIP model. This is an effort to implement E2E product from frontend to backend even with ML.
GitHub•Updated 39 months ago
Continuous Adaptation for Machine Learning System
MLOps system evolves according to the changes of the world, and that is usually caused by data/concept drift. This project shows how to combine two separate pipelines, one for batch prediction and the
GitHub•Updated 39 months ago
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