anaeliaovalle

anaeliaovalle's Stars

• 996icu/996.ICU

  Repo for counting stars and contributing. Press F to pay respect to glorious developers.

  270k4.2k021.1k

• KevinMusgrave/pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  Language:Python6.1k62518656

• beamandrew/medical-data

  5.8k336211.1k

• bentrevett/pytorch-sentiment-analysis

  Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

  Language:Jupyter Notebook4.4k841101.2k

• thunlp/PromptPapers

  Must-read papers on prompt-based tuning for pre-trained language models.

  4.1k1195380

• adambielski/siamese-triplet

  Siamese and triplet networks with online pair/triplet mining in PyTorch

  Language:Python3.1k5069636

• MIT-LCP/mimic-code

  MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

  Language:Jupyter Notebook2.7k1341.2k1.5k

• sigsep/open-unmix-pytorch

  Open-Unmix - Music Source Separation for PyTorch

  Language:Python1.3k3378195

• ContextualAI/HALOs

  A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).

  Language:Python77282447

• uclanlp/awesome-fairness-papers

  Papers on fairness in NLP

  43331453

• FrancescoSaverioZuppichini/Pytorch-how-and-when-to-use-Module-Sequential-ModuleList-and-ModuleDict

  Code for my medium article

  Language:Jupyter Notebook362111053

• Re-Align/URIAL

  Language:Python2992718

• econpy/google-ngrams

  Python scripts for retrieving CSV data from the Google Ngram Viewer and plotting it in XKCD style. The Python script for retrieving ngram data was originally modified from the script at www.culturomics.org.

  Language:Python254161476

• tolga-b/debiaswe

  Remove problematic gender bias from word embeddings.

  Language:Jupyter Notebook2448690

• JieYingWu/COVID-19_US_County-level_Summaries

  Attempt to find correlation between a region's demographic/economic factors with its ability to manage disease spread

  Language:HTML14514871

• bmcfee/ismir2020-metric-learning

  ISMIR 2020 Tutorial for Metric Learning in MIR

  Language:Jupyter Notebook1257110

• alexandrainst/responsible-ai

  Responsible AI knowledge base

  9911021

• declare-lab/red-instruct

  Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment

  Language:Python871912

• jessicarumbelow/Backwards

  Language:Jupyter Notebook742010

• huyng/incertae

  Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments

  Language:Jupyter Notebook624311

• orgtre/google-books-ngram-frequency

  Word/n-gram frequency lists for the Google Books Ngram Corpus (v3, all languages) with Python code

  Language:Python542212

• NtaylorOX/Public_Clinical_Prompt

  Language:Jupyter Notebook48417

• gshotwell/vitamin_d_covid

  Language:HTML4510910

• KinWaiCheuk/pytorch-triplet-loss

  Triplet-net and triplet loss implementation on pytorch

  Language:Jupyter Notebook42219

• KenSciResearch/fairMLHealth

  Healthcare-specific tools for bias analysis

  Language:Jupyter Notebook34122115

• uvavision/Double-Hard-Debias

  [ACL 2020] Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation

  Language:Jupyter Notebook27517

• rishibommasani/Contextual2Static

  All materials that accompany/are needed to reproduce ACL 2020 paper - Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings

  Language:Python18104

• hibaahsan/MIMIC-SBDH

  Dataset containing 7,025 discharge summary notes from the MIMIC III dataset annotated for 7 SBDHs

  12113

• wrightaprilm/WorkshopTTU

  Repository for students to fork

  Language:Python11308

• fukudano/robust_backoff

  Language:Python3