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Hello, I'm Kevin

I'm an artificial intelligence researcher and CEO of Avalon AI.

echelon2718

  • šŸŒ± Iā€™m currently learning LLMs, RAG, KnowledgeGraphDB, VectorDB, and Diffusion Models

  • šŸ‘Æ Iā€™m looking to collaborate on ShinkaiGAN

  • šŸ’¬ Ask me about AI, Deep Learning, Python, Pytorch, Tensorflow, ML Deployments

  • šŸ“« Reach me via [email protected]

Connect with me:

https://www.linkedin.com/in/kevin-putra-santoso/ https://www.kaggle.com/kevinputrasantoso https://www.youtube.com/channel/ucawztg0qchde0lzpg10gbqg

Languages and Tools:

docker javascript mongodb mysql opencv pandas python pytorch scikit_learn seaborn tensorflow llamaindex neo4j

echelon2718

Ā echelon2718

Kevin Putra Santoso's Projects

air-quality-data-analysis icon air-quality-data-analysis

Proyek ini berisi analisis data untuk dataset kualitas udara di 12 stasiun di Cina selama kurun waktu 5 tahun (2013 - 2017).

android_development icon android_development

This repository contains my project related with Android Development. Feel free to take a look!

nerf-pytorch icon nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

open-webui icon open-webui

User-friendly WebUI for LLMs (Formerly Ollama WebUI)

shinkaigan icon shinkaigan

ShinkaiGAN is an image-to-image translation model designed to transform sketch images into beautiful anime scenes inspired by the style of Makoto Shinkai. This model utilizes a Hybrid Perception Block U-Net architecture to achieve high-quality image-to-image translation.

simclr-anime-contrastive-learning icon simclr-anime-contrastive-learning

This is an implementation of SimCLR for Anime Contrastive Learning. The goal of this project is to build a model that understand the general feature of anime compared to sketch using semi-supervised learning, letting the model to learn how to classify which image is anime or not.

singa icon singa

a distributed deep learning platform

vig-gnn-ham10000 icon vig-gnn-ham10000

This repository contains the implementation and supplementary materials for the paper titled "Leveraging Spatial and Semantic Feature Extraction for Skin Cancer Diagnosis with Capsule Networks and Graph Neural Networks."

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