chiwanpark/svelte-simple-datagrid
A Simple but Powerful Data Grid for Svelte 5
MLE @ NAVER Cloud
A Simple but Powerful Data Grid for Svelte 5
Orchestrate multiple coding agents from desktop and mobile
My own Pi skills, extensions, and themes
Container environments for Chiwan Park
Redis extension for Flume NG
A Firefox Extension for AI Usage Tracking
A tiny synchonization tool for Heynote
Dotfiles for personal use
An OpenAI-compatible LLM APIs with OAuth Authentication
A S3-compatible API for NAVER MYBOX
Non-autoregressive Vision-Language Model based on JAX
A Lightweight SQLite Daemon
A Reverse Menlo Security
Scalable toolkit for efficient model reinforcement
My homepage on GitHub
Yet another pi-based coding agent
Curriculum Vitae
Implementation of Language Models from Scratch for Self-Educational Purposes
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and support state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in performant way.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
This is a webpage that provides various information for conferences, including their submission deadlines.
A high-throughput and memory-efficient inference and serving engine for LLMs
Efficient Triton Kernels for LLM Training
Go ahead and axolotl questions
Some scripts for Home Automation (personal use)
Testcontainers for Go is a Go package that makes it simple to create and clean up container-based dependencies for automated integration/smoke tests. The clean, easy-to-use API enables developers to programmatically define containers that should be run as part of a test and clean up those resources when the test is done.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Train transformer-based models.