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active-passive-losses

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

applied-ml

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

c2a

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

chatscript

clear

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

cvpr21_pass

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

eval-word-vectors

Easy to use scripts for evaluating word vectors on a variety of tasks.

k26-week9-spacerocks

lot

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

mt-dti

An official Molecule Transformer Drug Target Interaction (MT-DTI) model

muse

A library for Multilingual Unsupervised or Supervised word Embeddings

node2vec

pipmn

PIPMN

pumer

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

pytorch-coteaching

Pytorch implementations of Co-teaching for noisy label learning

pytorch-noise-norm-loss

Pytorch Implementation of the paper (Normalized loss functions for deep learning with noisy labels)

pytorch-sigua

Pytorch implemetations of SIGUA

sparseflow

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