Muhyun Kim's repositories
autogluon_stack_visualizer
This shows how to visualize the stack ensemble model trained by AutoGluon.
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
autogluon-model-viewer
This is a Jupyter notebook based viewer of AutoGluon training job on SageMaker.
AlignScore
ACL2023 - AlignScore, a metric for factual consistency evaluation.
AutoGluon-Tutorial-CVPR2020
Hands-on Tutorial on Automated Deep Learning
DeeperCluster
Implements the unsupervised pre-training of convolutional neural networks
DeepLearningExamples
Deep Learning Examples
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
distance-assistant
Pedestrian monitor that provides visual feedback to help ensure proper social distancing guidelines are being observed
explainerdashboard
explainerdashboard is a python package for generating analytical dashboards that explain the inner workings of so-called "blackbox" machine learning models.
KoGPT2
Korean GPT-2 pretrained cased (KoGPT2)
KorGPT2Tutorial
Tutorial for pretraining Korean GPT-2 model
learnopencv
Learn OpenCV : C++ and Python Examples
mxnet-distributed-sample
example of distributed multi-node/multi-device training of MXNet model
pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
ragas
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
sagemaker-inference-toolkit
Serve machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.
sagemaker-pipe
This project builds a very simple implementation of SageMaker Training's internal IO subsystem that is able to pipe channel data files to an algorithm. It is meant to be used as a local-testing tool in order to test a PIPE mode algorithm locally before attempting to run it for real with SageMaker Training.
sagemaker-pytorch-container
Docker container for running PyTorch scripts to train and host PyTorch models on SageMaker
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
WWW20-Hands-on-Tutorial
Materials for DGL hands-on tutorial in WWW 2020