zhangr2021 Goto Github PK

advances-in-label-noise-learning

A curated (most recent) list of resources for Learning with Noisy Labels

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-relation-extraction

📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

bert-for-inference

A small repo showing how to easily use BERT (or other transformers) for inference

best-subset

Comparisons between best subset selection and other popular estimators for sparse regression

camel

🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society

causality4nlp_papers

A reading list for papers on causality for natural language processing (NLP)

causalityner-politics

Code, data, and models for "POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection"

cdr

ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels

clct

clcts

deepspeare

Code for Deep-speare: a joint neural model of poetic language, meter and rhyme

examples

ganbert

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

label-errors

🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet

lancet

Lancet Countdown project

lancet-report2024

Code for lancet countdown report 2024

opus-mt

Open neural machine translation models and web services

prodigy

prodigy setup

scite

Causality Extraction based on Self-Attentive BiLSTM-CRF with Transferred Embeddings

transformers

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

vadersentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.