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Hakjin Lee, Machine Learning Engineer / Computer Vision Reseach Engineer

Interests

  • Visual understanding with limited supervision
  • Boosting performance by automation and data
  • Deep learning system design for large-scale modulated frameworks

Some of the repositories contributed: mmcv, mmengine, mmrotate, mmdeploy, mmagic, torchserve.

Hakjin Lee's Projects

neural-process-family icon neural-process-family

Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.

oslo icon oslo

OSLO: Open Source for Large-scale Optimization

paddledetection icon paddledetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

python icon python

Official Python client library for kubernetes

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

segdrawer icon segdrawer

Simple static web-based mask drawer, supporting semantic segmentation with Segment Anything Model (SAM).

seodore icon seodore

Satellite Image Object Detection for Rotated Objects

serve icon serve

Serve PyTorch models in production

siamvos icon siamvos

Video Object Segmentation requiring only a bounding box

siatune icon siatune

Hyperparameter Tuning Toolbox for OpenMMLab Frameworks

swa_gaussian icon swa_gaussian

Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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