mbiesialska

mbiesialska's Stars

• marionbartl/gender-bias-BERT

  This repository holds the code for my master thesis entitles "The Association of Gender Bias with BERT - Measuring, Mitigating and Cross-lingual portability"

  Language:Python159

• illidanlab/personaGPT

  Implementation of PersonaGPT Dialog Model

  Language:Python10423

• adbar/trafilatura

  Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML

  Language:Python3.8k268

• pliang279/sent_debias

  [ACL 2020] Towards Debiasing Sentence Representations

  Language:Python6219

• dragen1860/MAML-Pytorch

  Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

  Language:Python2.3k422

• shaoxia57/Bias_in_Gendered_Languages

  This is a repo for the EMNLP 19 Paper on gender bias in gendered languages.

  Language:Jupyter Notebook235

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python20.5k2.6k

• PaddlePaddle/ERNIE

  Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

  Language:Python6.3k1.3k

• VainF/Awesome-Contrastive-Learning

  Awesome Contrastive Learning for CV & NLP

  16320

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python57.6k5.9k

• yuanli2333/Teacher-free-Knowledge-Distillation

  Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization

  Language:Python58367

• AmanDaVinci/lifelong-learning-limitations

  Limitations of existing lifelong learning frameworks

  Language:Python3

• AmanDaVinci/lifelong-learning-baselines

  Baselines for lifelong learning

  Language:Python4

• AmanDaVinci/lifelong-learning

  Lifelong Learning for Language Models

  Language:Python6

• lebrice/Sequoia

  The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.

  Language:Python19118

• LeslieOverfitting/selective_distillation

  Language:Python369

• chrhenning/hypercl

  Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in the number of trainable weights and is robust against catastrophic forgetting.

  Language:Python16318

• caoy1996/CL-NMT

  Language:Python71

• ServiceNow/osaka

  Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research project that was started at Element AI.

  Language:Python10410

• tristandeleu/pytorch-maml

  An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta

  Language:Python23244

• tristandeleu/pytorch-meta

  A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

  Language:Python2k256

• dbaranchuk/memory-efficient-maml

  Memory efficient MAML using gradient checkpointing

  Language:Jupyter Notebook836

• cbfinn/maml

  Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

  Language:Python2.6k604

• chaoyanghe/Awesome-Federated-Learning

  FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

  1.9k332

• llmt-wmt/allies_llmt_beat

  The ALLIES Lifelong Learning Machine Translation baseline system's repository

  Language:Jupyter Notebook21

• mattriemer/MER

  Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from the ICLR 2019 paper (https://openreview.net/pdf?id=B1gTShAct7)

  Language:Python14633

• SALT-NLP/IDBR

  Codes for the paper: "Continual Learning for Text Classification with Information Disentanglement Based Regularization"

  Language:Python442

• ej0cl6/deep-active-learning

  Deep Active Learning

  Language:Python815184

• JordanAsh/badge

  An implementation of the BADGE batch active learning algorithm.

  Language:Python20132

• forest-snow/alps

  Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".

  Language:Python4010