snowcement

snowcement's Stars

• tangminji/ULTRA

  Uncertainty-guided Label Correction with Wavelet-transformed Discriminative Representation Enhancement

  Language:Python2

• neonwatty/machine-learning-refined

  Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.

  Language:Python1.7k616

• BobXWu/TopMost

  A Topic Modeling System Toolkit

  Language:Jupyter Notebook20416

• patrickrchao/JailbreakingLLMs

  Language:Python44364

• aounon/certified-llm-safety

  Language:Python289

• ucsb-seclab/BullseyePoison

  Bullseye Polytope Clean-Label Poisoning Attack

  Language:Python146

• HIT-SCIR/huozi

  活字通用大模型

  Language:Python35522

• liu00222/Open-Prompt-Injection

  This repository provides implementation to formalize and benchmark Prompt Injection attacks and defenses

  Language:Python15820

• EdinburghNLP/awesome-hallucination-detection

  List of papers on hallucination detection in LLMs.

  69959

• manyoso/haltt4llm

  This project is an attempt to create a common metric to test LLM's for progress in eliminating hallucinations which is the most serious current problem in widespread adoption of LLM's for many real purposes.

  Language:Python22123

• HillZhang1999/llm-hallucination-survey

  Reading list of hallucination in LLMs. Check out our new survey paper: "Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models"

  95852

• tangminji/DiscrimLoss

  DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination

  Language:Python2

• tangminji/NoisywikiHow-dataset

  NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing (ACL2023 Findings)

  2

• tangminji/NoisywikiHow

  NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing (ACL2023 Findings)

  Language:Python5

• tangminji/STGN-NoisyNER

  Sub-experiment of "STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing" (EMNLP 2022) by Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu.

  Language:Python1

• tangminji/STGN-wikiHow

  Sub-experiment of "STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing" (EMNLP 2022) by Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu.

  Language:Python1

• tangminji/STGN-sst

  STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing (EMNLP 2022)

  Language:Python4

• SCIR-HI/Huatuo-Llama-Med-Chinese

  Repo for BenTsao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草（原名：华驼）模型仓库，基于中文医学知识的大语言模型指令微调

  Language:Python4.6k461

• weijiaheng/Advances-in-Label-Noise-Learning

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

  69859

• mazhengcn/suggested-notation-for-machine-learning

  This introduces a suggestion of mathematical notation protocol for machine learning.

  Language:TeX44673

• xxxnell/how-do-vits-work

  (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

  Language:Python80879

• microsoft/MLC

  Meta Label Correction for Noisy Label Learning

  Language:Python8321

• bhanML/label-noise-papers

  An update-to-date list for papers related with label-noise representation learning is here.

  8811

• tomgoldstein/loss-landscape

  Code for visualizing the loss landscape of neural nets

  Language:Python2.9k405

• gorkemalgan/deep_learning_with_noisy_labels_literature

  This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.

  23531

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

  A curated list of resources for Learning with Noisy Labels

  2.6k353

• probml/pml-book

  "Probabilistic Machine Learning" - a book series by Kevin Murphy

  Language:Jupyter Notebook5k599

• inouye-lab/ShapleyExplanationNetworks

  Implementation of the paper "Shapley Explanation Networks"

  Language:Python8515

• AnyiRao/WordAdver

  Code for ACL2018 HotFlip: White-Box Adversarial Examples for Text Classification, Word-level Adversarial Examples

  Language:Python347

• cleverhans-lab/cleverhans

  An adversarial example library for constructing attacks, building defenses, and benchmarking both

  Language:Jupyter Notebook6.2k1.4k