Duc Anh Ho Page (ducanhho2296)

Duc Anh Ho Page

ducanhho2296

Geek Repo

Company:L3S Research Center - Leibniz Universität Hannover

Location:Hannover - Germany

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Duc Anh Ho Page's repositories

YoloV5_Segmentation_ONNX

a implementation real-time instance segmentation with YOLOv5 using ONNX Runtime and streaming the results to a web browser with FastAPI

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MaskedFaceRecognition

This Repo was created to attend to the Webface260M Masked Face Recognition Challenge

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FastAPI-Servers-Real-time-communication

This repos was created to for practicing and developing skills in building microservices using FastAPI and multiple servers in a distributed architecture.

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LLama_FineTuning_QnA

This project employs fine-tuning techniques on LLM such as LLamas 2, GPT to develop a specialized Q&A chatbot for enhancing customer services.

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WebServer-Development

This WebServer development project leverages CI/CD, Deployment, monitoring, and logging to showcase efficient DevOps practices in practical deployment scenarios

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DeepAmenitySegmentation

DeepAmenitySegmentation: A Semantic Segmentation Approach for Identifying Urban Amenities in Satellite Imagery

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Time-series-Forescasting-with-XGBoost

Using XGboost algorithm for time series forescasting in store saling

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ducanhho2296

Config files for my GitHub profile.

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lectures

Oxford Deep NLP 2017 course

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ML-Python

These Code based on my code in Octave, which I was learned from the course: Machine Learning by Stanford University (Cousera)

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pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

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TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10

How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

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TensorRT

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

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test-workflow-create-tsi

Create-tsi is a generative AI RAG toolkit which generates AI Applications with low code.

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Two-Stage-Gan-in-trajectory-generation

A Two-Stage Gan architecture to generate trajectory conditioned on maps information.

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yolact_edge

The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

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