The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

[NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

Large Language Models Are Reasoning Teachers (ACL 2023)

Implementation of Reinforcement Learning from Human Feedback (RLHF)

IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"

[IEEE Access 2022] Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification