yeachan-kr

yeachan-kr's Stars

• YouAreSpecialToMe/QST

  Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models

  Language:Python342

• yeachan-kr/clear

  Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning (ACL 2024)

  Language:Python3

• yeachan-kr/sparseflow

  SparseFlow: Accelerating Transformers by Sparsifying Information Flows (ACL 2024)

  Language:Python1

• RUCKBReasoning/SP3

  Language:Python1

• yeachan-kr/lot

  Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing (EMNLP 2023)

  Language:Python3

• yeachan-kr/c2a

  Pytorch implementations of Client-Customized Adaptation for Parameter-Efficient Federated Learning (Findings of ACL: ACL 2023)

  Language:Python13

• csarron/PuMer

  [ACL 2023] PuMer: Pruning and Merging Tokens for Efficient Vision Language Models

  Language:Python282

• jej127/Bias-Experts

  Language:Python6

• yeachan-kr/pytorch-coteaching

  Pytorch implementations of Co-teaching for noisy label learning

  Language:Python124

• gabriben/awesome-generative-information-retrieval

  61047

• CederGroupHub/MaterialParser

  Utility to compile string of chemical terms into data structure with chemical formula and composition

  Language:Python137

• amodaresi/AdapLeR

  Language:Python223

• daemon/pytorch-pcen

  PyTorch reimplementation of per-channel energy normalization for audio.

  Language:Python9316

• irishev/DSP

  PyTorch implementation of "Dynamic Structure Pruning for Compressing CNNs" (AAAI 2023 Oral)

  Language:Python246

• IgorSusmelj/pytorch-styleguide

  An unofficial styleguide and best practices summary for PyTorch

  Language:Python1.9k170

• AndreyGuzhov/ESResNeXt-fbsp

  Source code for models described in the paper "ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of Audio" (https://arxiv.org/abs/2104.11587)

  Language:Python443

• UCSC-REAL/cifar-10-100n

  Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.

  Language:Python19820

• yeachan-kr/pytorch-sigua

  Pytorch implemetations of SIGUA

  Language:Python62

• weimingwill/awesome-federated-learning

  All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.

  Language:Shell65695

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.3k3.7k

• Impression2805/CVPR21_PASS

  PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

  Language:Python10420

• WanFang13/NCE-Net

  Code for "Nearest Neighbor Classifier Embedded Network for Active Learning", AAAI 2021

  Language:Python102

• raosudha89/GYAFC-corpus

  This is the Grammarly's Yahoo Answers Formality Corpus

  1056

• nvbn/thefuck

  Magnificent app which corrects your previous console command.

  Language:Python85.2k3.4k

• subeeshvasu/Awesome-Learning-with-Label-Noise

  A curated list of resources for Learning with Noisy Labels

  2.6k351

• lixin4ever/Conference-Acceptance-Rate

  Acceptance rates for the major AI conferences

  Language:Jupyter Notebook4.2k299

• dhlee347/pytorchic-bert

  Pytorch Implementation of Google BERT

  Language:Python590180

• fossasia/visdom

  A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

  Language:Python10k1.1k

• songys/Chatbot_data

  Chatbot_data_for_Korean

  355140

• Pusnow/mecab-ko-dic-msvc

  이전됨 - https://github.com/Pusnow/mecab-ko-msvc

  Language:Shell278