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

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

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

Pytorch implementations of Co-teaching for noisy label learning

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

PyTorch reimplementation of per-channel energy normalization for audio.

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

An unofficial styleguide and best practices summary for PyTorch

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)

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

Pytorch implemetations of SIGUA

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

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

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

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

This is the Grammarly's Yahoo Answers Formality Corpus

Magnificent app which corrects your previous console command.

A curated list of resources for Learning with Noisy Labels

Acceptance rates for the major AI conferences

Pytorch Implementation of Google BERT

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

Chatbot_data_for_Korean

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