esthesia Goto Github PK
Name: TAEYOON KIM
Type: User
Company: UNIST
Bio: Unist Computer Science and Engineering ph.D student Studying at @OMNIALAB-UNIST
Location: Ulsan
TAEYOON KIM's Projects
amp
(NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
dali
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
dali_pytorch_demo
Example code showing how to use Nvidia DALI in pytorch, with fallback to torchvision. Contains a few differences to the official Nvidia example, namely a completely CPU pipeline & improved memory usage
distributed-pytorch
Distributed, mixed-precision training with PyTorch
nogil
Multithreaded Python without the GIL
nuevomatch
The source code of NuevoMatch as described in "A Computational Approach to Packet Classification" (SIGCOMM, 2020)
plelog
Implementation of PLELog in ICSE 2021 accepted paper:Semi-supervised Log-based Anomaly Detection via Probabilistic Label Estimation.
pytorch-randaugment
Unofficial PyTorch Reimplementation of RandAugment.
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