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Jang-Hyun Kim's Projects

awesome-llm-inference icon awesome-llm-inference

📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.

chatgpt-retrieval-plugin icon chatgpt-retrieval-plugin

The ChatGPT Retrieval Plugin lets you easily search and find personal or work documents by asking questions in everyday language.

co-mixup icon co-mixup

Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)

context-memory icon context-memory

Pytorch implementation for "Compressed Context Memory For Online Language Model Interaction"

cs231n icon cs231n

My solution to cs231n (2016 winter)

gan-mnist icon gan-mnist

Mnist generation models with GAN, lsGAN, wGAN, wGAN_GP

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

hosting-school icon hosting-school

History of hosting and summer/winter school presented at Deepest

neural-relation-graph icon neural-relation-graph

Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)

openood icon openood

Benchmarking Generalized Out-of-Distribution Detection

pba icon pba

Efficient Learning of Augmentation Policy Schedules

peft icon peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

puzzlemix icon puzzlemix

Official PyTorch implementation of "Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup" (ICML'20)

pytorch-lightning icon pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

pytorch-speech-commands icon pytorch-speech-commands

Speech commands recognition with PyTorch | Kaggle 10th place solution in TensorFlow Speech Recognition Challenge

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